SureSense Software Suite Overview
|
|
- Andrew Phillips
- 8 years ago
- Views:
Transcription
1 SureSense Software Overview Eliminate Failures, Increase Reliability and Safety, Reduce Costs and Predict Remaining Useful Life for Critical Assets Using SureSense and Health Monitoring Software What SureSense Does Expert Microsystems SureSense and Heath Monitoring (PHM) software detects and diagnoses failures before they can disable equipment and sensors used in performance critical systems. The software transforms an avalanche of data into actionable decisions for critical system events impacting system operation, safety and reliability. Expert Microsystems (EM) built the SureSense PHM software with the philosophy that One Size Does Not Fit All. Each customer asset has unique issues and challenges that often do not fit readily into other rigid and fixed software solutions. EM s modular plug in framework, based on patented Mode Partitioning and Calibration algorithms in combination with EM s highly advanced Path Classification and (PACE) prognostic models, offers the most cost effective, accurate and flexible PHM solution available. The monitored system can be any source of observable data, such as a machine, a human being, a business process, or a computer network. For example, SureSense can accurately distinguish between malicious cyber attacks and routine firewall and intrusion detection alerts so that prompt actions can be taken for bona fide threats. SureSense is the only PHM software that provides fully integrated patented prognostic capabilities in combination with a flexible Java based architecture to accurately predict asset remaining useful life. SureSense PHM technology uses four principle steps, these being Prediction, Detection, Diagnosis and Prognosis. The Prediction step involves the use of one or more models describing the asset when it is operating correctly. The prediction model is used to estimate the expected values of the observed data from the asset. The Detection step compares observed data values to their expected values to determine the pattern of agreement or disagreement between the observed and expected parameters. The Diagnosis step correlates this pattern of agreement or disagreement with the most likely normal or abnormal state of the asset. The Prognosis step uses this evolving diagnosis and condition information to determine the probable remaining useful life of the monitored asset. SureSense ally Creates and Calibrates Monitoring s, ally Detects and Diagnoses Faults and ally Determines Remaining Useful Life for Critical Assets Calibration/Updating Process Acquire ing SELECT Training CALIBRATE System CREATE On-Line On-Line & Health Management Process Acquire Asset Operating PREDICT DETECT DIAGNOSE System Behavior with On-LIne Differences Between and Determine Significance of Differences PROGNOSE Determine Remaining Useful Life Warn if Asset Fault is Detected Warn if RUL is Below Minimum REMEDY Take Corrective Action
2 SureSense The SureSense PHM software suite consists of a flexible framework architecture, sold under the Diagnostic Monitoring Studio trademark, which is populated with four main types of modules: Diagnostic Monitoring Studio State Prediction Module Fault Detection Module Diagnostic Module Life Module In addition to these modules, SureSense includes a universal data acquisition interface, a graphical user interface, and a scientific data visualization and plotting package. The Diagnostic Monitoring Studio (DMS) is the backbone of the SureSense suite. It provides the framework to plug in customer proprietary models and data sources as well as EM s proprietary modules. The DMS has many unique features that provide a compelling advantage over competing products. EM s open, building block approach greatly reduces PHM system design, development and deployment time. It also allows SureSense to connect to any source of data in any format. This is a feature that competing PHM products do not offer. SureSense Uses a Flexible Architecture and Technologies to Provide Unmatched Accuracy, Reduced Deployment Time and Maximum Cost Effectiveness VALIDATION PREDICTION Diagnostic Monitoring Studio Universal Framework Equipment & System s s SureSense or er Provided Plug-in Modules
3 SureSense The DMS uses patented Mode Partitioning algorithms for rapid and accurate modeling of complex systems and to assure extremely low false alarm rates. It also provides and Calibration features that dramatically reduce deployment time and cost of model maintenance as an asset ages or is subject to seasonal changes. Finally, the framework has Automated Uncertainly technology to assure very high quality, quantitative decision analysis. The DMS is written in the platform neutral Java language in contrast to the platform specific languages used by other PHM software providers. This is significant because it allows customer tailored software to be quickly interfaced with SureSense as plug in modules. Additionally, Java-based solutions have inherent advantages relative to competing approaches for security and network distributed deployment. State Prediction Module Equipment & System s s SureSense offers more prediction capabilities than any competing PHM product. SureSense comes with a comprehensive library of both analytical and pattern recognition model types to predict the behavior of an asset and also provides the ability to integrate customer proprietary models. The best solution for our customer s unique state prediction challenges can be easily selected, verified and quickly deployed using our DMS framework. EM s Advanced Pattern Recognition (APR) models learn the behavior of an asset automatically. The most advanced APR model available is EM s (ESEE). This modeling module uses patented self-calibrating, high dimensional, autoassociative kernel regression technology to provide fast and stable models. Other modeling modules currently available in SureSense include: classical autoassociative kernel regression, multivariate state estimation technique (MSET), nonparametric fuzzy inference, parity space averaging, functional relation and time series averaging libraries, time series autoregression and probability scoring. principle analytical models are also available for many types of circuits, turbine engines and rocket engines. Selection of the best modeling technique is straightforward and is based on the type of signal and data capture at a customer s site and the physical relationships between the data parameters for the operating assets. Fault Detection Module Equipment & System s s Comparing the observed signal values from an asset to expected signal values enables very early detection of developing faults. SureSense can be configured to use both classical rule based detection logic and EM s advanced probability based models, either separately or in combination. Rule based fault detection models, such as threshold limits, are most useful for detecting large magnitude errors that exceed normal expected behavior. based models analyze the residual difference between the expected signal values and the observed signal values and dynamically evaluate the probability density functions for the residuals to determine if the changes are statistically significant. The most advanced probability based model available is EM s patented (ASP) technology, which provides the optimum balance between high sensitivity and negligible false alarms. Other fault detection capabilities currently available in SureSense include: range/noise/change limit detectors, statistical process control limits, missing value detectors and classical sequential probability detectors.
4 SureSense Diagnostic Module Equipment & System s s When one or more asset signals produce a fault indication, EM s decision module is used to determine the cause for the For example, a fault could be caused by a malfunctioning sensor, an electrical short, or equipment that is malfunctioning. Each of these causes has a unique pattern of fault indications and probability of occurrence. The SureSense (BBN) diagnostic decision module can be configured to pinpoint the most likely cause of the fault whereas EM s unique Unmodeled Condition Detector automatically builds a diagnostic model that can reliably distinguish sensor failures from other types of faults. The BBN diagnostic decision module provides the most accurate and maintainable automated reasoning capability available thereby providing a distinct advantage over rule-based decision approaches used in some of our competitor s products. SureSense makes the BBN s powerful decision modeling capability highly automated and intuitive. Prognosis Prediction Module Equipment & System s s SureSense is the only PHM software that offers a tightly integrated prognosis prediction module within a flexible open architecture asset monitoring system. The prognostic module includes our patented Path Classification and (PACE) technology, which uses non-parametric regression over multiple degradation path models to predict remaining useful life with unparalleled accuracy. Other prognosis modules include a Proportional Hazards Module, which employs usage and stress variables to predict remaining useful life and a General Path Module that uses the value of a degradation parameter to predict remaining life. These modules can be run simultaneously to allow prognostic models appropriate for the beginning of an asset s life to be compared to models appropriate near the end of an asset s useful life. Our unique multi-model approach assures highly accurate remaining life predictions for the monitored asset. SureSense Applications Originally developed with sponsorship from NASA and the U.S. Departments of Defense, Energy, and Homeland Security, SureSense capabilities have been proven for a broad range of high value applications including: Conventional & Nuclear Power Generation Clean Technology Chemical and Process Plants Commercial and Military Turbine s Rocket Propulsion and Spacecraft Battery and Stored Energy Systems Cyber Security Servers and s Sensor Calibration and Validation OEM Product Embedded Monitoring SureSense has been tested and validated against stringent military and government requirements. The flexibility and accuracy of SureSense has been successfully demonstrated for Space Shuttle Main telemetry data validation, Joint Strike Fighter battery subsystem monitoring, F/A-22 turbine engine ground test verification, SCADA cyber security assurance and for instrument and equipment monitoring at multiple nuclear power plants.
5 SureSense SureSense Installation SureSense Benefits Configuring SureSense s rich feature set for a specific application is straightforward and consists of the following tasks: Identify the goals of the PHM deployment Assess the available data for the asset Select the most useful data for modeling Select and install the optimum modeling technology to provide the most accurate and cost effective solution Installation can typically be completed in less than 30 days. Installation is accomplished in four easy steps: Reduce plant maintenance costs by 25% Reduce unplanned breakdowns by 70% Reduce instrument calibration costs by 90% Accurately predict asset remaining useful life Reduce false alarm related costs Rapid to deploy and easy to use ized for your unique requirements Compatible with all operating systems Compatible with your legacy technologies Eliminate bad data for improved control Embed self-diagnostics in OEM products Shorten OEM product development time 1 Connect Sources Pull data from existing customer data sources(s) 2 Calibrate SureSense s Learn data that is normal for the monitored asset 3 Validate Sensitivity and Accuracy ally characterize and optimize models using built-in tools 4 Roll out Software and Monitor Begin active monitoring of your critical assets SureSense has user friendly interfaces and presents information in concise and easy to understand formats. The user interface is customizable to display alarms for all types of systems using an intuitive mouse activated system view. The extensive plotting capabilities are context sensitive for items selected in the system display and are configurable to meet all types of data visualization needs. technology, flexibility, and ease of installation and use make SureSense the leader in PHM software products.
6 SureSense Offers the Most Comprehensive s to Ensure the Optimum Solution Is Implemented for Each Unique er PHM Requirement System Architecture Prediction Fault Detection Diagnosis Prognosis SureSense Features Flexible Java Foundation Mode Partitioning Algorithms Calibration Capabilities Automated Uncertainty Static Calibration Dynamic Calibration (ESEE) Autoassociative Kernel Regression (AAKR) State Technique (MSET) Non Parametric Fuzzy Inference (NFIS) Parity Space Averaging Relation Function Library Time Series Average Library Algorithms Time Series Autoregression s Range Limit Detector Noise Limit Detector Delta Limit Detector Statistical Process Control (SPC) Module Missing Value Detector Classical Detector Detector Unmodeled Condition Detector Proportional Hazards General Path Path Classification and Comments Most flexible PHM framework architecture available Significantly reduces false alarm rate calibration that updates as an asset ages Highly accurate technique for determining model uncertainty ally selects data for model calibration ally acquires new data for adaptive model calibration Highly accurate autoassociative, multivariate kernel regression model Classic multivariate kernel regression model By Argonne National Lab, available in SureSense and from others Autoassociative, multivariate fuzzy prediction model Consistency weighted average for redundant signals Large library of 2D and 3D analytical models Simple and composite averages of time series data Univariate score measures probability density function shift Classic univariate autoregression model For example, battery circuit, turbine engine and rocket engine models High and low value limits ized high & low standard deviation methods Positive and negative step change limits Classic SPC mean and range limits Null value or assigned constant Detect mean or variance change using classical method Detect mean or variance change using highly accurate method nodes with automated connections to fault detectors determination of data fault versus equipment fault Usage and stress data used to predict remaining life Value of a degradation indicator used to predict remaining life Non-parametric prediction using multiple degradation path models Expert Microsystems, Inc Country Trail Drive, 1 Orangevale, CA info@expmicrosys.com
DEVELOPMENT OF AN ONLINE PREDICTIVE MONITORING SYSTEM FOR POWER GENERATING PLANTS
DEVELOPMENT OF AN ONLINE PREDICTIVE MONITORING SYSTEM FOR POWER GENERATING PLANTS Randall Bickford Expert Microsystems, Inc. Orangevale, California rando@expmicrosys.com Richard Rusaw South Carolina Electric
More informationMaximizing return on plant assets
Maximizing return on plant assets Manufacturers in nearly every process industry face the need to improve their return on large asset investments. Effectively managing assets, however, requires a wealth
More informationStructural Health Monitoring Tools (SHMTools)
Structural Health Monitoring Tools (SHMTools) Getting Started LANL/UCSD Engineering Institute LA-CC-14-046 c Copyright 2014, Los Alamos National Security, LLC All rights reserved. May 30, 2014 Contents
More informationHealth Management for In-Service Gas Turbine Engines
Health Management for In-Service Gas Turbine Engines PHM Society Meeting San Diego, CA October 1, 2009 Thomas Mooney GE-Aviation DES-1474-1 Agenda Legacy Maintenance Implementing Health Management Choosing
More informationChoosing a host system
2002 Emerson Process Management. All rights reserved. View this and other courses online at www.plantwebuniversity.com. Fieldbus 402 Choosing a host system Overview Supplier experience Designed for fieldbus
More informationThe Business case for monitoring points... PCM architecture...
The Business case for monitoring points... Points Condition Monitoring (PCM) measures key parameters related to the performance of switch machines and turnouts in real time at every movement. Intelligent
More informationProactive Asset Management with IIoT and Analytics
Proactive Asset Management with IIoT and Analytics by Ralph Rio in Industrial Internet of Things, Analytics & Big Data Summary The Industrial Internet of Things (IIoT) with advanced analytics, offers new
More informationSystem Aware Cyber Security
System Aware Cyber Security Application of Dynamic System Models and State Estimation Technology to the Cyber Security of Physical Systems Barry M. Horowitz, Kate Pierce University of Virginia April, 2012
More informationWATCHMAN Reliability Services Enhance OEM Service Center Revenue
WATCHMAN Reliability Services Enhance OEM Service Center Revenue Keywords: WATCHMAN Analysis, WATCHMAN Remote, Vibration Analysis Services, Online Monitoring, Vibration Analysts, Remote Monitoring, Predictive
More informationEnterprise Asset Performance Management
Application Solution Enterprise Asset Performance Management for Power Utilities Using the comprehensive Enterprise Asset Performance Management solution offered by Schneider Electric, power utilities
More informationSECURITY SOLUTIONS BANKING AND FINANCE
SECURITY SOLUTIONS BANKING AND FINANCE Pacom has developed a distinguished reputation as a global leader in the field of remote security management for the banking and financial market. Over 25 years of
More informationCyber and Operational Solutions for a Connected Industrial Era
Cyber and Operational Solutions for a Connected Industrial Era OPERATIONAL & SECURITY CHALLENGES IN A HYPER-CONNECTED INDUSTRIAL WORLD In face of increasing operational challenges and cyber threats, and
More informationSANS Top 20 Critical Controls for Effective Cyber Defense
WHITEPAPER SANS Top 20 Critical Controls for Cyber Defense SANS Top 20 Critical Controls for Effective Cyber Defense JANUARY 2014 SANS Top 20 Critical Controls for Effective Cyber Defense Summary In a
More informationBatch Analytics. Predicts end-of-batch quality. Detects process faults and provides reason for deviation so operations can take action in real time
DeltaV Distributed Control System Product Data Sheet December 2015 Batch Analytics Predicts end-of-batch quality Detects process faults and provides reason for deviation so operations can take action in
More informationHighlights of CAMS. Service Health Manager
Service Health Manager Proxilliant Service Health Manager (SHM) is the dashboard required to monitor the quality of any network including health and customer experience of the services provided in the
More informationPropulsion Gas Path Health Management Task Overview. Donald L. Simon NASA Glenn Research Center
Propulsion Gas Path Health Management Task Overview Donald L. Simon NASA Glenn Research Center Propulsion Controls and s Research Workshop December 8-10, 2009 Cleveland, OH www.nasa.gov 1 National Aeronautics
More informationNiara Security Analytics. Overview. Automatically detect attacks on the inside using machine learning
Niara Security Analytics Automatically detect attacks on the inside using machine learning Automatically detect attacks on the inside Supercharge analysts capabilities Enhance existing security investments
More informationRecipCOM. Expertise, reciprocating compressor monitoring and protection tailored to your needs
RecipCOM Expertise, reciprocating compressor monitoring and protection tailored to your needs Do your reciprocating compressors have sufficient protection? Due to the increasing demands on availability
More informationTestScape. On-line, test data management and root cause analysis system. On-line Visibility. Ease of Use. Modular and Scalable.
TestScape On-line, test data management and root cause analysis system On-line Visibility Minimize time to information Rapid root cause analysis Consistent view across all equipment Common view of test
More informationWindows Embedded Security and Surveillance Solutions
Windows Embedded Security and Surveillance Solutions Windows Embedded 2010 Page 1 Copyright The information contained in this document represents the current view of Microsoft Corporation on the issues
More informationSOFTWARE-IMPLEMENTED SAFETY LOGIC Angela E. Summers, Ph.D., P.E., President, SIS-TECH Solutions, LP
SOFTWARE-IMPLEMENTED SAFETY LOGIC Angela E. Summers, Ph.D., P.E., President, SIS-TECH Solutions, LP Software-Implemented Safety Logic, Loss Prevention Symposium, American Institute of Chemical Engineers,
More informationIntrusion Detection via Machine Learning for SCADA System Protection
Intrusion Detection via Machine Learning for SCADA System Protection S.L.P. Yasakethu Department of Computing, University of Surrey, Guildford, GU2 7XH, UK. s.l.yasakethu@surrey.ac.uk J. Jiang Department
More informationGE Intelligent Platforms. Mine Performance. from GE Predictivity
GE Intelligent Platforms Mine Performance from GE Predictivity Increase throughput and availability If you re like most mining companies, you need to improve both your processes and your equipment availability
More informationON-LINE MONITORING OF POWER PLANTS
ON-LINE MONITORING OF POWER PLANTS Dr. Hans-Gerd Brummel Siemens Power Generation (PG), Huttenstrasse 12-16, 10553 Berlin, Germany Phone: +49 30 3464 4158, E-mail: hans-gerd.brummel@siemens.com Table of
More informationHow To Use Safety System Software (S3)
SPECIFICATION DATA Safety System Software (S3) APPLICATION Safety System Software (S 3 ) is a robust, full featured configuration, diagnostic, programming and real-time monitoring package for integrators
More informationKaseya Traverse. Kaseya Product Brief. Predictive SLA Management and Monitoring. Kaseya Traverse. Service Containers and Views
Kaseya Product Brief Kaseya Traverse Predictive SLA Management and Monitoring Kaseya Traverse Traverse is a breakthrough cloud and service-level monitoring solution that provides real time visibility into
More informationProactive Performance Management for Enterprise Databases
Proactive Performance Management for Enterprise Databases Abstract DBAs today need to do more than react to performance issues; they must be proactive in their database management activities. Proactive
More informationOptimize IT. Features and Benefits. Overview. Asset Optimizer Asset Monitoring Version 2.1
Overview Optimize IT Asset Optimizer Asset Monitoring Version 2.1 Features and Benefits Asset Monitoring: Provides consistent reporting method of plant asset health status: Asset Condition Tree provides
More informationNiara Security Intelligence. Overview. Threat Discovery and Incident Investigation Reimagined
Niara Security Intelligence Threat Discovery and Incident Investigation Reimagined Niara enables Compromised user discovery Malicious insider discovery Threat hunting Incident investigation Overview In
More informationANALYTICS IN BIG DATA ERA
ANALYTICS IN BIG DATA ERA ANALYTICS TECHNOLOGY AND ARCHITECTURE TO MANAGE VELOCITY AND VARIETY, DISCOVER RELATIONSHIPS AND CLASSIFY HUGE AMOUNT OF DATA MAURIZIO SALUSTI SAS Copyr i g ht 2012, SAS Ins titut
More informationPredictive Intelligence: Identify Future Problems and Prevent Them from Happening BEST PRACTICES WHITE PAPER
Predictive Intelligence: Identify Future Problems and Prevent Them from Happening BEST PRACTICES WHITE PAPER Table of Contents Introduction...1 Business Challenge...1 A Solution: Predictive Intelligence...1
More informationHP Service Health Analyzer: Decoding the DNA of IT performance problems
HP Service Health Analyzer: Decoding the DNA of IT performance problems Technical white paper Table of contents Introduction... 2 HP unique approach HP SHA driven by the HP Run-time Service Model... 2
More informationHP-UX 11i software deployment and configuration tools
HP-UX 11i software deployment and configuration tools Simplifying management of servers in a virtualized environment Introduction... 2 Simplifying management in dynamic, virtualized environments... 2 HP-UX
More informationAnomaly Detection and Predictive Maintenance
Anomaly Detection and Predictive Maintenance Rosaria Silipo Iris Adae Christian Dietz Phil Winters Rosaria.Silipo@knime.com Iris.Adae@uni-konstanz.de Christian.Dietz@uni-konstanz.de Phil.Winters@knime.com
More informationReal-time Power Analytics Software Increasing Production Availability in Offshore Platforms
Real-time Power Analytics Software Increasing Production Availability in Offshore Platforms Overview Business Situation The reliability and availability of electrical power generation and distribution
More informationIntroduction. Background
Predictive Operational Analytics (POA): Customized Solutions for Improving Efficiency and Productivity for Manufacturers using a Predictive Analytics Approach Introduction Preserving assets and improving
More informationREMOTE MONITORING SYSTEM MATURE FIELDS UNCONVENTIONALS MONITORING SYSTEM. Solving challenges.
REMOTE MONITORING SYSTEM InteLift REMOTE MONITORING SYSTEM Solving challenges. UNCONVENTIONALS MATURE FIELDS InteLift Remote Monitoring System InteLift REMOTE MONITORING SYSTEM YOUR RESERVES AND YOUR
More informationApplying machine learning techniques to achieve resilient, accurate, high-speed malware detection
White Paper: Applying machine learning techniques to achieve resilient, accurate, high-speed malware detection Prepared by: Northrop Grumman Corporation Information Systems Sector Cyber Solutions Division
More informationAchieve greater efficiency in asset management by managing all your asset types on a single platform.
Asset solutions To support your business objectives Achieve greater efficiency in asset by managing all your asset types on a single platform. When you use Maximo Asset Management to help maximize the
More informationPredictive Analytics
Predictive Analytics How many of you used predictive today? 2015 SAP SE. All rights reserved. 2 2015 SAP SE. All rights reserved. 3 How can you apply predictive to your business? Predictive Analytics is
More informationHow McAfee Endpoint Security Intelligently Collaborates to Protect and Perform
How McAfee Endpoint Security Intelligently Collaborates to Protect and Perform McAfee Endpoint Security 10 provides customers with an intelligent, collaborative framework, enabling endpoint defenses to
More informationActive Network Defense: Real time Network Situational Awareness and a Single Source of Integrated, Comprehensive Network Knowledge
Active Network Defense: Real time Network Situational Awareness and a Single Source of Integrated, Comprehensive Network Knowledge This paper will present a case study of Lumeta s participation in an open
More informationSPPA-D3000 Plant Monitor Technical Description
SPPA-D3000 Plant Monitor Technical Description Model-based monitoring and early fault detection for components and processes May 2008 Answers for energy. 1 Siemens AG 2008. All Rights Reserved Contents
More informationOVERVIEW HIGHLIGHTS. Exsys Corvid Datasheet 1
Easy to build and implement knowledge automation systems bring interactive decision-making expertise to Web sites. Here s proven technology that provides customized, specific recommendations to prospects,
More informationNetwork Monitoring. Chu-Sing Yang. Department of Electrical Engineering National Cheng Kung University
Network Monitoring Chu-Sing Yang Department of Electrical Engineering National Cheng Kung University Outline Introduction Network monitoring architecture Performance monitoring Fault monitoring Accounting
More informationAchieve greater efficiency in asset management by managing all your asset types on a single platform.
Asset solutions To support your business objectives Achieve greater efficiency in asset by managing all your asset types on a single platform. Obtain an entirely new level of asset awareness Every company
More informationFail-Safe IPS Integration with Bypass Technology
Summary Threats that require the installation, redeployment or upgrade of in-line IPS appliances often affect uptime on business critical links. Organizations are demanding solutions that prevent disruptive
More informationIndustrialIT System 800xA Engineering
IndustrialIT System 800xA Engineering Overview Features and Benefits Integrated Engineering Environment: Supports the engineering of the entire extended automation system from field devices to plant management
More informationPredictive Intelligence: Moving Beyond the Crystal Ball BEST PRACTICES WHITE PAPER
Predictive Intelligence: Moving Beyond the Crystal Ball BEST PRACTICES WHITE PAPER Table of Contents Introduction...1 Business Challenge...1 A Solution: Predictive Intelligence...1 > Dynamic Thresholding...2
More informationFeatures. Emerson Solutions for Abnormal Situations
Features Comprehensive solutions for prevention, awareness, response, and analysis of abnormal situations Early detection of potential process and equipment problems Predictive intelligence network to
More informationSPPA-T3000 Control System The Benchmark in Controls
Instrumentation, Controls & Electrical SPPA-T3000 Control System The Benchmark in Controls Siemens Power & Process Automation Answers for energy. The benchmark for Distributed Control Systems Developed
More informationAchieve greater efficiency in asset management by managing all your asset types on a single platform.
Asset solutions To support your business objectives Achieve greater efficiency in asset by managing all your asset types on a single platform. Obtain an entirely new level of asset awareness Every company
More informationIBM Tivoli Composite Application Manager for WebSphere
Meet the challenges of managing composite applications IBM Tivoli Composite Application Manager for WebSphere Highlights Simplify management throughout the life cycle of complex IBM WebSphere-based J2EE
More informationCautela Labs Cloud Agile. Secured. Threat Management Security Solutions at Work
Cautela Labs Cloud Agile. Secured. Threat Management Security Solutions at Work Security concerns and dangers come both from internal means as well as external. In order to enhance your security posture
More informationAIRDEFENSE SOLUTIONS PROTECT YOUR WIRELESS NETWORK AND YOUR CRITICAL DATA SECURITY AND COMPLIANCE
AIRDEFENSE SOLUTIONS PROTECT YOUR WIRELESS NETWORK AND YOUR CRITICAL DATA SECURITY AND COMPLIANCE THE CHALLENGE: SECURE THE OPEN AIR Wirelesss communication lets you take your business wherever your customers,
More informationSelecting Sensors for Safety Instrumented Systems per IEC 61511 (ISA 84.00.01 2004)
Selecting Sensors for Safety Instrumented Systems per IEC 61511 (ISA 84.00.01 2004) Dale Perry Worldwide Pressure Marketing Manager Emerson Process Management Rosemount Division Chanhassen, MN 55317 USA
More informationHarnessing the power of advanced analytics with IBM Netezza
IBM Software Information Management White Paper Harnessing the power of advanced analytics with IBM Netezza How an appliance approach simplifies the use of advanced analytics Harnessing the power of advanced
More informationPSS E. High-Performance Transmission Planning Application for the Power Industry. Answers for energy.
PSS E High-Performance Transmission Planning Application for the Power Industry Answers for energy. PSS E architecture power flow, short circuit and dynamic simulation Siemens Power Technologies International
More informationALARM PERFORMANCE IMPROVEMENT DURING ABNORMAL SITUATIONS
ALARM PERFORMANCE IMPROVEMENT DURING ABNORMAL SITUATIONS Peter Andow Honeywell Hi-Spec Solutions, Southampton, UK The process industries are continually facing new challenges to increase throughput, improve
More informationGETTING REAL ABOUT SECURITY MANAGEMENT AND "BIG DATA"
GETTING REAL ABOUT SECURITY MANAGEMENT AND "BIG DATA" A Roadmap for "Big Data" in Security Analytics ESSENTIALS This paper examines: Escalating complexity of the security management environment, from threats
More informationProfessionalPLUS Station Software Suite
January 2013 Page 1 All you need to configure, control, and diagnose your plant is available on the ProfessionalPLUS Station Global database, architected for flexibility and scalability Powerful, graphical
More informationLeverage the Internet of Things to Transform Maintenance and Service Operations
SAP Brief SAP s for the Internet of Things SAP Predictive Maintenance and Service SAP Enterprise Asset Management Objectives Leverage the Internet of Things to Transform Maintenance and Service Operations
More informationSIMCA 14 MASTER YOUR DATA SIMCA THE STANDARD IN MULTIVARIATE DATA ANALYSIS
SIMCA 14 MASTER YOUR DATA SIMCA THE STANDARD IN MULTIVARIATE DATA ANALYSIS 02 Value From Data A NEW WORLD OF MASTERING DATA EXPLORE, ANALYZE AND INTERPRET Our world is increasingly dependent on data, and
More informationAmes Consolidated Information Technology Services (A-CITS) Statement of Work
Ames Consolidated Information Technology Services (A-CITS) Statement of Work C.1 Mission Functions C.1.1 IT Systems & Facilities Support System Administration: The Contractor shall provide products and
More informationEL Program: Smart Manufacturing Systems Design and Analysis
EL Program: Smart Manufacturing Systems Design and Analysis Program Manager: Dr. Sudarsan Rachuri Associate Program Manager: K C Morris Strategic Goal: Smart Manufacturing, Construction, and Cyber-Physical
More informationBenefits of Upgrading to Phoenix WinNonlin 6.2
Benefits of Upgrading to Phoenix WinNonlin 6.2 Pharsight, a Certara Company 5625 Dillard Drive; Suite 205 Cary, NC 27518; USA www.pharsight.com March, 2011 Benefits of Upgrading to Phoenix WinNonlin 6.2
More informationSolutions and IT services for Oil-Gas & Energy markets
Solutions and IT services for The context Companies operating in the Oil-Gas & Energy sectors are facing radical changes that have a significant impact on their business processes. In this context, compliance
More informationcan you improve service quality and availability while optimizing operations on VCE Vblock Systems?
SOLUTION BRIEF Service Assurance Solutions from CA Technologies for VCE Vblock Systems can you improve service quality and availability while optimizing operations on VCE Vblock Systems? agility made possible
More informationGE Intelligent Platforms. Understanding and Minimizing Your HMI/SCADA System Security Gaps
GE Intelligent Platforms Understanding and Minimizing Your HMI/SCADA System Security Gaps Understanding and Minimizing Your HMI/SCADA System Security Gaps Being at the heart of an operation s data visualization,
More informationAIRDEFENSE SOLUTIONS PROTECT YOUR WIRELESS NETWORK AND YOUR CRITICAL DATA SECURITY AND COMPLIANCE
AIRDEFENSE SOLUTIONS PROTECT YOUR WIRELESS NETWORK AND YOUR CRITICAL DATA SECURITY AND COMPLIANCE THE CHALLENGE: SECURE THE OPEN AIR Wirelesss communication lets you take your business wherever your customers,
More informationThe Role of Automation Systems in Management of Change
The Role of Automation Systems in Management of Change Similar to changing lanes in an automobile in a winter storm, with change enters risk. Everyone has most likely experienced that feeling of changing
More informationJOINT STRIKE FIGHTER PHM VISION
Joint Strike Fighter,JSF, and the JSF Logo are Trademarks of the United States Government JOINT STRIKE FIGHTER PHM VISION Joint Strike Fighter Program Office. VISION BE THE MODEL ACQUISITION PROGRAM FOR
More informationDelivering operations integrity through better plant safety, availability and compliance across your entire enterprise
Product Information Note DynAMo Alarm & Operations Management Delivering operations integrity through better plant safety, availability and compliance across your entire enterprise Control Magazine Readers
More informationSystem Specification. Author: CMU Team
System Specification Author: CMU Team Date: 09/23/2005 Table of Contents: 1. Introduction...2 1.1. Enhancement of vulnerability scanning tools reports 2 1.2. Intelligent monitoring of traffic to detect
More informationIBM Tivoli Service Request Manager
Deliver high-quality services while helping to control cost IBM Tivoli Service Request Manager Highlights Streamline incident and problem management processes for more rapid service restoration at an appropriate
More informationAn Introduction to. Metrics. used during. Software Development
An Introduction to Metrics used during Software Development Life Cycle www.softwaretestinggenius.com Page 1 of 10 Define the Metric Objectives You can t control what you can t measure. This is a quote
More informationDeltaV System Cyber-Security
January 2013 Page 1 This paper describes the system philosophy and guidelines for keeping your DeltaV System secure from Cyber attacks. www.deltav.com January 2013 Page 2 Table of Contents Introduction...
More informationSolution Analysis White Paper CHOOSING THE RIGHT UPS FOR SMALL AND MIDSIZE DATA CENTERS: A COST AND RELIABILITY COMPARISON
Solution Analysis White Paper CHOOSING THE RIGHT UPS FOR SMALL AND MIDSIZE DATA CENTERS: A COST AND RELIABILITY COMPARISON Introduction A dependable uninterruptible power supply (UPS) system is essential
More informationSituational Awareness Through Network Visualization
CYBER SECURITY DIVISION 2014 R&D SHOWCASE AND TECHNICAL WORKSHOP Situational Awareness Through Network Visualization Pacific Northwest National Laboratory Daniel M. Best Bryan Olsen 11/25/2014 Introduction
More informationVDI FIT and VDI UX: Composite Metrics Track Good, Fair, Poor Desktop Performance
VDI FIT and VDI UX: Composite Metrics Track Good, Fair, Poor Desktop Performance Key indicators and classification capabilities in Stratusphere FIT and Stratusphere UX Whitepaper INTRODUCTION This whitepaper
More informationUniformance Asset Sentinel. Advanced Solutions. A real-time sentinel for continuous process performance monitoring and equipment health surveillance
Uniformance Asset Sentinel Advanced Solutions A real-time sentinel for continuous process performance monitoring and equipment health surveillance What is Uniformance Asset Sentinel? Honeywell s Uniformance
More informationCyberArk Privileged Threat Analytics. Solution Brief
CyberArk Privileged Threat Analytics Solution Brief Table of Contents The New Security Battleground: Inside Your Network...3 Privileged Account Security...3 CyberArk Privileged Threat Analytics : Detect
More informationHow To Create An Intelligent Infrastructure Solution
SYSTIMAX Solutions Intelligent Infrastructure & Security Using an Internet Protocol Architecture for Security Applications White Paper July 2009 www.commscope.com Contents I. Intelligent Building Infrastructure
More informationOperations & Maintenance 201 Using online monitoring and predictive diagnostics to reduce maintenance costs
2003 Emerson Process Management. All rights reserved. View this and other courses online at www.plantwebuniversity.com. Operations & Maintenance 201 Using online monitoring and predictive diagnostics to
More informationNew Era in Cyber Security. Technology Development
New Era in Cyber New Era in Cyber Security Security Technology Technology Development Development Combining the Power of the Oil and Gas Industry, DHS, and the Vendor Community to Combat Cyber Security
More informationInformation Technology Engineers Examination. Information Security Specialist Examination. (Level 4) Syllabus
Information Technology Engineers Examination Information Security Specialist Examination (Level 4) Syllabus Details of Knowledge and Skills Required for the Information Technology Engineers Examination
More informationNetwork Manager Training Course Descriptions NM6
Copyright 2015 ABB. All rights reserved. Network Manager Training Course Descriptions NM6 Catalogue We reserve all rights in this document and in the information therein. Reproduction,use or disclosure
More informationAdvanced Diagnostic/Prognostic Solutions for Information Technology (IT) UPS & Power Supply Systems
Application Note AN107 Advanced Diagnostic/Prognostic Solutions for Information Technology (IT) UPS & Power Supply Systems Overview In today s business networks, continuous operation of network devices
More informationMRV EMPOWERS THE OPTICAL EDGE.
Pro-Vision Service Delivery Software MRV EMPOWERS THE OPTICAL EDGE. WE DELIVER PACKET AND OPTICAL SOLUTIONS ORCHESTRATED WITH INTELLIGENT SOFTWARE TO MAKE SERVICE PROVIDER NETWORKS SMARTER. www.mrv.com
More informationFive Essential Components for Highly Reliable Data Centers
GE Intelligent Platforms Five Essential Components for Highly Reliable Data Centers Ensuring continuous operations with an integrated, holistic technology strategy that provides high availability, increased
More informationNEXT GENERATION ARCHIVE MIGRATION TOOLS
NEXT GENERATION ARCHIVE MIGRATION TOOLS Cloud Ready, Scalable, & Highly Customizable - Migrate 6.0 Ensures Faster & Smarter Migrations EXECUTIVE SUMMARY Data migrations and the products used to perform
More informationProduct Brief SysTrack VMP
for VMware View Product Brief SysTrack VMP Benefits Optimize VMware View desktop and server virtualization and terminal server projects Anticipate and handle problems in the planning stage instead of postimplementation
More informationChapter 5. Regression Testing of Web-Components
Chapter 5 Regression Testing of Web-Components With emergence of services and information over the internet and intranet, Web sites have become complex. Web components and their underlying parts are evolving
More informationThe Importance of Cybersecurity Monitoring for Utilities
The Importance of Cybersecurity Monitoring for Utilities www.n-dimension.com Cybersecurity threats against energy companies, including utilities, have been increasing at an alarming rate. A comprehensive
More informationThe Cisco and Pelco Industrial Wireless Video Surveillance Solution: Real-Time Monitoring of Process Environments for Safety and Security
The Cisco and Pelco Industrial Wireless Video Surveillance Solution: Real-Time Monitoring of Process Environments for Safety and Security The Cisco and Pelco Industrial Wireless Video Surveillance Solution
More informationWHITE PAPER. Automated IT Asset Management Maximize Organizational Value Using Numara Track-It! p: 813.227.4900 f: 813.227.4501 www.numarasoftware.
WHITE PAPER By Tony Thomas Senior Network Engineer and Product Manager Numara TM Software Inc. ADAPTING TO THE CONSTANTLY CHANGING IT ENVIRONMENT The challenge in controlling the corporate IT infrastructure
More informationIndustrial HiVision Software
Industrial HiVision Software The Essential Management Tool For All Stages of Your Network Life Cycle Network visibility equals high availability. Industrial HiVision is a state-of-the-art software package
More informationEndpoint Threat Detection without the Pain
WHITEPAPER Endpoint Threat Detection without the Pain Contents Motivated Adversaries, Too Many Alerts, Not Enough Actionable Information: Incident Response is Getting Harder... 1 A New Solution, with a
More informationLastest Development in Partial Discharge Testing Koh Yong Kwee James, Leong Weng Hoe Hoestar Group
Lastest Development in Partial Discharge Testing Koh Yong Kwee James, Leong Weng Hoe Hoestar Group INTRODUCTION Failure of High Voltage insulation is the No 1 cause of High voltage system failures with
More informationCA Workload Automation
PRODUCT SHEET: CA Workload Automation CA Workload Automation Improve the availability of critical IT workload processes and schedules enterprise-wide by leveraging real-time IT automation, embedded workflow,
More information