Resistance furnace temperature control based on prediction BP neural network

Save this PDF as:

Size: px
Start display at page:

Transcription

1 International Symposium on Computers & Informatics (ISCI 2015) Resistance furnace temperature control based on prediction BP neural network Yaowu Tang College of Electrical Engineering, Jilin Teachers Institute of Engineering &Technology Changchun China Abstract For resistance furnace nonlinear, time-varying, hysteresis characteristics, the use of predictive control of advance and BP neural network has the ability to approximate any nonlinear function of the characteristics of the design of the neural network predictive controller resistance furnace temperature control. The simulation results show that this method enhances the tracking of the system, to have a good time delay compensation, accused parameter has a strong ability to adapt than traditional control methods precision, speed, excellent quality control. Keywords: resistance furnace; BP neural network; predictive control Introduction Resistance furnace with nonlinear, time-varying, multi-disturbance, hysteresis and other properties, using conventional means of mathematical modeling and classical control methods are difficult to produce the desired control its effects. In recent years, according to current and past information to predict the future output of predictive control algorithm is widely used in industrial control process, to enhance the tracking of the system; and BP neural network has the ability to approximate any nonlinear function, and the structures and algorithms simple and clear, able to accurately describe the dynamic process of uncertainty. Therefore, in order to overcome the deficiencies of traditional control algorithm, the BP neural networks and predictive control to design a combination of BP neural network predictive controller of resistance furnace temperature control, simulation results show that this method than the traditional method of temperature control accuracy high speed, can effectively overcome resistance furnace Delays and time variability, excellent quality control. the temperature control system works The actual temperature is detected by a thermocouple in the furnace, the temperature transmitter is converted to a voltage signal 0 ~ 5V, and after the acquisition and the computer compares the set temperature to obtain the rate of The authors - Published by Atlantis Press 2133

2 change of the temperature error and error, using BP neural network predictive control algorithm obtaining control output. The output to the input of the SCR regulator change the SCR conduction angle. Conduction angle is larger, the AC voltage supplied to the furnace at both ends of the resistor will be higher, the resistance furnace also increases input power, temperature rise; the other hand, the conduction angle decreases, the input power decreases resistance furnace, the furnace temperature drop; furnace temperature deviation is zero, the thyristor conduction angle to maintain a certain, constant power input resistance furnace. By controlling the thyristor conduction angle controlled resistance heater current, and thus the temperature of the controlled object, so that the actual temperature of the object toward a given change in temperature and eventually reaches a given temperature. the control system configured Resistance furnace BP neural network predictive control system consists of an object resistance furnace, furnace temperature controlled neural network forecasting model, feedback correction, temperature rolling optimization controller. The principle is shown in Figure 1. Furnace temperature prediction model, used to approximate the actual object, which according to current and historical system input and output information to predict future furnace; feedback correction for correcting the output prediction model furnace, stove lose Out error, in order to improve the prediction accuracy of prediction model furnace; furnace rolling optimization controller role is to calculate the amount of the difference between optimal control reference trajectory based on predicted output of the system. r reference trajectory Tr ( k+ j) Rolling optimization air( k) controller Hot blast stove Tk ( ) T ( ) P k+ j Feedback correction T ( +) m k j Neural network prediction model Fig.1 The principle diagram of the Resistance furnace temperature control 2134

3 system The establishment of theresistance furnace model The relationship between the blast volume and temperature of T, as shown below. Tm( k) = f ( T ( k 1),, T ( k na), air( k 1),, air( k nb)) + ε ( k) (1) T ( ) m k is the predicted temperature of furnace temperature prediction model. Tk ( ) is the temperature at time k. air( k ) is k times of air supply. na is the system input, n b is the system output order. ε ( k) is the white noise sequence. 2 na nb f () is a nonlinear function. f() L ( R + ). Neural network to approximate continuous or discontinuous function. With three layers of BP neural network to construct the hot blast furnace temperature prediction model. Prediction model structural diagram is shown in figure 2. The model consists of an input layer, one hidden layer and one output layer. Implicit response function layer is generally nonlinear function, such as the Sigmoid function. 2135

4 Figure 2 The neural network prediction model System of temperature and air supply network training samples for K moment and the moment before. The input for the network : [ T ( k),, T ( k n + 1), air( k),, air( k n + 1)] T a The output of the network is Tm ( k+ 1) The number of input layer nodes na + nb, The output layer nodes is 1, The number of hidden layer node is m 0. b 2136

5 Since the output has been normalized to the range [0, 1]. The transfer function of the output layer neurons can be set to S logarithm function. The transfer function model of middle layer neurons are S tangent function. Analysis of test results To test the feasibility of the control program for the control system of the simulation. At a given temperature of 300 C, the simulation results shown in Figure 3. As can be seen from the simulation results, BP neural network predictive control in the nature of the rise time, the transition time are better than traditional PID control, control is better. In practice, the resistance furnace running state test, the test interval of 2 minutes, the measured data with predicted results shown in Figure 4, the temperature curve of the predicted value and the measured data curves were compared with predicted results difficult to find actual changes in the basic line, even when the signal is too low or too rapid changes. Conclusion Neural network has the massive parallel processing, distributed storage and adaptive, self learning ability of organization. So the neural network is used to realize the algorithm of predictive control model. The simulation results fully demonstrated that the neural network predictive control scheme is successful. It can adapt to the changes of the object, and it showed good control characteristic. It has strong predictive, robustness, and adaptive. This scheme significantly outperforms the conventional PID control scheme, it has certain guiding significance for practical production. Fig.3 PID control and BP control 2137

6 References [1] Zhu Jing. Intelligent predictive control and its application[m]. Zhejiang university press. 2002,1-71, [2] Xu Lina.neural network control[m].beijing Electron Industry Press.2003, [3] Li Rui.The application of neural network in nonlinear predictive control[d].xian university of science and technology [4] Li Yuyun, Wang Yongji, Liu Ye.Used in heating furnace of nonlinear neural network predictive controller[j]. The Chinese mechanical engineering. 2001,12(2): [5] Liang Wenbin.Based on the neural network predictive control system research of the robot[d].yangzhou university [6] Chen Bo,Qian Feng,Liu Mandan.A predictive control algorithm based on BP network and its application[j]. Journal of east China university of science and technology.2003,29 (4):

Chapter 2 The Research on Fault Diagnosis of Building Electrical System Based on RBF Neural Network

Chapter 2 The Research on Fault Diagnosis of Building Electrical System Based on RBF Neural Network Qian Wu, Yahui Wang, Long Zhang and Li Shen Abstract Building electrical system fault diagnosis is the

Analecta Vol. 8, No. 2 ISSN 2064-7964

EXPERIMENTAL APPLICATIONS OF ARTIFICIAL NEURAL NETWORKS IN ENGINEERING PROCESSING SYSTEM S. Dadvandipour Institute of Information Engineering, University of Miskolc, Egyetemváros, 3515, Miskolc, Hungary,

Research of Digital Character Recognition Technology Based on BP Algorithm

Research of Digital Character Recognition Technology Based on BP Algorithm Xianmin Wei Computer and Communication Engineering School of Weifang University Weifang, China wfxyweixm@126.com Abstract. This

The Combination Forecasting Model of Auto Sales Based on Seasonal Index and RBF Neural Network

, pp.67-76 http://dx.doi.org/10.14257/ijdta.2016.9.1.06 The Combination Forecasting Model of Auto Sales Based on Seasonal Index and RBF Neural Network Lihua Yang and Baolin Li* School of Economics and

A Control Method of Traffic Flow Based on Region Coordination

3rd International Conference on Management, Education, Information and Control (MEICI 2015) A Control Method of Traffic Flow Based on Region Coordination Wuxiong Xu 1, a,*, Dong Zhong 1, b, Siqing Wu 1,

Online Tuning of Artificial Neural Networks for Induction Motor Control

Online Tuning of Artificial Neural Networks for Induction Motor Control A THESIS Submitted by RAMA KRISHNA MAYIRI (M060156EE) In partial fulfillment of the requirements for the award of the Degree of MASTER

Solar Street Light Controller for Harsh Environments

, pp. 161-170 http://dx.doi.org/10.1457/ijsh.015.9.1.17 Solar Street Light Controller for Harsh Environments Ping Xue 1, Yan-liang Song and Hong-min Wang 1 School of Automation Harbin University of Science

Available online at www.sciencedirect.com Available online at www.sciencedirect.com

Available online at www.sciencedirect.com Available online at www.sciencedirect.com Procedia Procedia Engineering Engineering () 9 () 6 Procedia Engineering www.elsevier.com/locate/procedia International

UNINTERRUPTIBLE POWER SUPPLY SYSTEMS G8000MM UPS CONVERTER CONFIGURATION TECHNICAL PAPER

UNINTERRUPTIBLE POWER SUPPLY SYSTEMS G8000MM UPS CONVERTER CONFIGURATION Document Reference: ANS-0002 1 1. Introduction The following paper describes the Toshiba G8000MM UPS Module Converter configuration

Experimental Study on the Effect of Water Content on the Thermal Conductivity of Grains

Experimental Study on the Effect of Water Content on the Thermal Conductivity of Grains LUO Wei, DAI Xibi School of Civil Engineering and Architecture, Wuhan Polytechnic University, P.R.China, 430023 296426413@qq.com

Application of BP Neural Network Model based on Particle Swarm Optimization in Enterprise Network Information Security

, pp.173-182 http://dx.doi.org/10.14257/ijsia.2016.10.3.16 Application of BP Neural Network Model based on Particle Swarm Optimization in Enterprise Network Information Security Shumei liu Hengshui University

Ziegler-Nichols-Based Intelligent Fuzzy PID Controller Design for Antenna Tracking System

Ziegler-Nichols-Based Intelligent Fuzzy PID Controller Design for Antenna Tracking System Po-Kuang Chang, Jium-Ming Lin Member, IAENG, and Kun-Tai Cho Abstract This research is to augment the intelligent

Network Traffic Prediction Based on the Wavelet Analysis and Hopfield Neural Network

Netork Traffic Prediction Based on the Wavelet Analysis and Hopfield Neural Netork Sun Guang Abstract Build a mathematical model is the key problem of netork traffic prediction. Traditional single netork

Design of Intelligent Control System of Transformer Oil Temperature

Design of Intelligent Control System of Transformer Oil Temperature Caijun Xu Liping Zhang* Yuchen Chen Zhifeng Liu Abstract in working process of power transformer, which directly affects the safe operation

Artificial Neural Networks for Identification and Control of a Lab-Scale Distillation Column using LABVIEW

Artificial Neural Networks for Identification and Control of a Lab-Scale Distillation Column using LABVIEW J. Fernandez de Canete, S. Gonzalez-Perez, and P. del Saz-Orozco Abstract LABVIEW is a graphical

Microcontroller-based experiments for a control systems course in electrical engineering technology

Microcontroller-based experiments for a control systems course in electrical engineering technology Albert Lozano-Nieto Penn State University, Wilkes-Barre Campus, Lehman, PA, USA E-mail: AXL17@psu.edu

Application of Fuzzy Statistics Evaluation Theory for Analyzing the Performance of Rolling Bearings

International Journal of New Technology and Research IJNTR) Application of Statistics Evaluation Theory for Analyzing the Performance of Rolling Bearings Xintao Xia, Liang Ye, Zhen Chang Abstract This

PC BASED PID TEMPERATURE CONTROLLER

PC BASED PID TEMPERATURE CONTROLLER R. Nisha * and K.N. Madhusoodanan Dept. of Instrumentation, Cochin University of Science and Technology, Cochin 22, India ABSTRACT: A simple and versatile PC based Programmable

Power Prediction Analysis using Artificial Neural Network in MS Excel

Power Prediction Analysis using Artificial Neural Network in MS Excel NURHASHINMAH MAHAMAD, MUHAMAD KAMAL B. MOHAMMED AMIN Electronic System Engineering Department Malaysia Japan International Institute

Price Prediction of Share Market using Artificial Neural Network (ANN)

Prediction of Share Market using Artificial Neural Network (ANN) Zabir Haider Khan Department of CSE, SUST, Sylhet, Bangladesh Tasnim Sharmin Alin Department of CSE, SUST, Sylhet, Bangladesh Md. Akter

ANN Based Fault Classifier and Fault Locator for Double Circuit Transmission Line

International Journal of Computer Sciences and Engineering Open Access Research Paper Volume-4, Special Issue-2, April 2016 E-ISSN: 2347-2693 ANN Based Fault Classifier and Fault Locator for Double Circuit

Open Access Research on Application of Neural Network in Computer Network Security Evaluation. Shujuan Jin *

Send Orders for Reprints to reprints@benthamscience.ae 766 The Open Electrical & Electronic Engineering Journal, 2014, 8, 766-771 Open Access Research on Application of Neural Network in Computer Network

EFFICIENT DATA PRE-PROCESSING FOR DATA MINING

EFFICIENT DATA PRE-PROCESSING FOR DATA MINING USING NEURAL NETWORKS JothiKumar.R 1, Sivabalan.R.V 2 1 Research scholar, Noorul Islam University, Nagercoil, India Assistant Professor, Adhiparasakthi College

Simulation of VSI-Fed Variable Speed Drive Using PI-Fuzzy based SVM-DTC Technique

Simulation of VSI-Fed Variable Speed Drive Using PI-Fuzzy based SVM-DTC Technique B.Hemanth Kumar 1, Dr.G.V.Marutheshwar 2 PG Student,EEE S.V. College of Engineering Tirupati Senior Professor,EEE dept.

ANN Based Modeling of High Speed IC Interconnects. Q.J. Zhang, Carleton University

ANN Based Modeling of High Speed IC Interconnects Needs for Repeated Simulation Signal integrity optimization Iterative design and re-optimization Monte-Carlo analysis Yield optimization Iterative design

A A ROBUST PRACTICAL GENERALIZED PREDICTIVE CONTROL FOR FOR

oc s e a o a Co e gy, o e a d Co o as a U e s y, as a, aq 30 o o ec 0 0 A A ROBUST PRACTICAL GENERALIZED PREDICTIVE CONTROL FOR FOR BOILER SUPER BOILER HEATER SUPER HEATER TEMPERATURE TEMPERATURE CONTROL

Prediction Model for Crude Oil Price Using Artificial Neural Networks

Applied Mathematical Sciences, Vol. 8, 2014, no. 80, 3953-3965 HIKARI Ltd, www.m-hikari.com http://dx.doi.org/10.12988/ams.2014.43193 Prediction Model for Crude Oil Price Using Artificial Neural Networks

Bank Customers (Credit) Rating System Based On Expert System and ANN

Bank Customers (Credit) Rating System Based On Expert System and ANN Project Review Yingzhen Li Abstract The precise rating of customers has a decisive impact on loan business. We constructed the BP network,

International Conference on Advances in Energy, Environment and Chemical Engineering (AEECE-2015)

International Conference on Advances in Energy, Environment and Chemical Engineering (AEECE-2015) An Optimal Reactive Power Planning Software for Urban Network Qiang Sun 1, a, Xue Wang 1,b, Yingting Ni

MULTI-PHASE FUZZY CONTROL OF SINGLE INTERSECTION IN TRAFFIC SYSTEM BASED ON GENETIC ALGORITHM. Received February 2011; revised June 2011

International Journal of Innovative Computing, Information and Control ICIC International c 2012 ISSN 1349-4198 Volume 8, Number 5(A), May 2012 pp. 3387 3397 MULTI-PHASE FUZZY CONTROL OF SINGLE INTERSECTION

Automatic Control System for Highway Tunnel Lighting

Automatic Control System for Highway Tunnel Lighting Shijuan 1 FanF F, Chao Yang 1, Zhiwei Wang 1 Abstract In order to solve the problems of large energy consumption existing in tunnel lighting control

INTELLIGENT ENERGY MANAGEMENT OF ELECTRICAL POWER SYSTEMS WITH DISTRIBUTED FEEDING ON THE BASIS OF FORECASTS OF DEMAND AND GENERATION Chr.

INTELLIGENT ENERGY MANAGEMENT OF ELECTRICAL POWER SYSTEMS WITH DISTRIBUTED FEEDING ON THE BASIS OF FORECASTS OF DEMAND AND GENERATION Chr. Meisenbach M. Hable G. Winkler P. Meier Technology, Laboratory

Design call center management system of e-commerce based on BP neural network and multifractal

Available online www.jocpr.com Journal of Chemical and Pharmaceutical Research, 2014, 6(6):951-956 Research Article ISSN : 0975-7384 CODEN(USA) : JCPRC5 Design call center management system of e-commerce

A Matlab / Simulink Based Tool for Power Electronic Circuits

A Matlab / Simulink Based Tool for Power Electronic Circuits Abdulatif A M Shaban Abstract Transient simulation of power electronic circuits is of considerable interest to the designer The switching nature

Optimization of PID parameters with an improved simplex PSO

Li et al. Journal of Inequalities and Applications (2015) 2015:325 DOI 10.1186/s13660-015-0785-2 R E S E A R C H Open Access Optimization of PID parameters with an improved simplex PSO Ji-min Li 1, Yeong-Cheng

DC Circuits: Operational Amplifiers Hasan Demirel

DC Circuits: Operational Amplifiers Hasan Demirel Op Amps: Introduction Op Amp is short form of operational amplifier. An op amp is an electronic unit that behaves like a voltage controlled voltage source.

Control circuit. gathering and reporting fault messages. carrying out of protective functions for the frequency converter and motor.

Control circuit The control circuit, or control card, is the fourth main component of the frequency converter and has four essential tasks: control of the frequency converter semi-conductors. data exchange

PID Controlled Automatic Voltage Regulator with Load Frequency Control

I J E E E C International Journal of Electrical, Electronics ISSN No. (Online): 2277-2626 and Computer Engineering 5(2): 05-10(2016) PID Controlled Automatic Voltage Regulator with Load Frequency Control

A Fast Algorithm for Reactive Power Market Management Using Artificial Neural Networks

A Fast Algorithm for Reactive Power Market Management Using Artificial Neural Networks Abstract A. Kargarian *1 (Corresponding author) R. Sarkari Khorrami 2 Department of Electrical and Computer Engineering

Essential Components of Data Acquisition Systems

Essential Components of Data Acquisition Systems Application Note 1386 Introduction The purpose of any data acquisition system is to gather useful measurement data for characterization, monitoring, or

COST ESTIMATION OF HIGH PERFORMANCE CONCRETE (HPC) HIGH- RISE COMMERCIAL BUILDINGS BY NEURAL NETWORKS High-rise commercial buildings

COST ESTIMATION OF HIGH PERFORMANCE CONCRETE (HPC) HIGH- RISE COMMERCIAL BUILDINGS BY NEURAL NETWORKS High-rise commercial buildings C. F. FANG and T. FROESE Department of Civil Engineering, University

A New Hybrid Heating System for Solar Cell Module Laminator

A New Hybrid Heating System for Solar Cell Module Laminator Shi Lei a, Chen Li-dong b, Zhang Liang c, Ma Shuying College of Mechanical and Electronic Engineering,Hebei Normal University of Science and

Simple temperature measurement using a PT100 loop powered temperature transmitter.

Simple temperature measurement using a PT100 loop powered temperature transmitter. SEM203P SEM310(X) SEM1801 SEM206P SEM315 SEM1802 SEM210(X) SEM1603P TTR200(X) SEM213P SEM1610 SEM1802 Pt100 Probes A Pt100

Test Methods for DC/DC Power Modules

Test Methods for DC/DC Power Modules Design Note 027 Ericsson Power Modules Precautions Abstract A user may have the desire to verify or characterize the performance of DC/DC power modules outside the

The Research on Optimal Control of Hvac Refrigeration System

www.ijcsi.org 65 The Research on Optimal Control of Hvac Refrigeration System He Bingqiang 1, Liao Chunling 2 1 Guangdong Jidian Polytechnic Abstract This paper gives a kind of optimal control method for

Research on the UHF RFID Channel Coding Technology based on Simulink

Vol. 6, No. 7, 015 Research on the UHF RFID Channel Coding Technology based on Simulink Changzhi Wang Shanghai 0160, China Zhicai Shi* Shanghai 0160, China Dai Jian Shanghai 0160, China Li Meng Shanghai

Feedforward and Ratio Control

Introduction to Feedforward Controller Design Based on Steady-State Models Feedforward Controller Design Based on Dynamic Models Tuning Feedforward Controllers 1 2 Feedback control is an important technique

High Voltage Power Supplies for Analytical Instrumentation

ABSTRACT High Voltage Power Supplies for Analytical Instrumentation by Cliff Scapellati Power supply requirements for Analytical Instrumentation are as varied as the applications themselves. Power supply

R f. V i. ET 438a Automatic Control Systems Technology Laboratory 4 Practical Differentiator Response

ET 438a Automatic Control Systems Technology Laboratory 4 Practical Differentiator Response Objective: Design a practical differentiator circuit using common OP AMP circuits. Test the frequency response

Step-coordination Algorithm of Traffic Control Based on Multi-agent System

International Journal of Automation and Computing 6(3), August 2009, 308-313 DOI: 10.1007/s11633-009-0308-z Step-coordination Algorithm of Traffic Control Based on Multi-agent System Hai-Tao Zhang 1 Fang

Analysis of China Motor Vehicle Insurance Business Trends

Analysis of China Motor Vehicle Insurance Business Trends 1 Xiaohui WU, 2 Zheng Zhang, 3 Lei Liu, 4 Lanlan Zhang 1, First Autho University of International Business and Economic, Beijing, wuxiaohui@iachina.cn

Using NTC Temperature Sensors Integrated into Power Modules

Using NTC Temperature Sensors Integrated into Power Modules Pierre-Laurent Doumergue R&D Engineer Advanced Power Technology Europe Chemin de Magret 33700 Mérignac, France Introduction Most APTE (Advanced

Lecture 24: Oscillators. Clapp Oscillator. VFO Startup

Whites, EE 322 Lecture 24 Page 1 of 10 Lecture 24: Oscillators. Clapp Oscillator. VFO Startup Oscillators are circuits that produce periodic output voltages, such as sinusoids. They accomplish this feat

PTC Thermistors [From Philips Data Handbook PA ]

PTC Thermistors [From Philips Data Handbook PA02 1989] 1. GENERAL Positive Temperature Coefficient (PTC) thermistors exhibit a high positive temperature coefficient of resistance. They differ from Negative

LabVIEW Based Speed Control of DC Motor Using PID Controller

LabVIEW Based Speed Control of DC Motor Using PID Controller Dileep Kumar 1, Mazhar Hussain 2, Shaurya Varendra Tyagi 3, Prof. Ravi Gupta 4, Prof. Salim 5 1,2,3,4,5 Electrical & Electronics Department,

IAI : Biological Intelligence and Neural Networks

IAI : Biological Intelligence and Neural Networks John A. Bullinaria, 2005 1. How do Humans do Intelligent Things? 2. What are Neural Networks? 3. What are Artificial Neural Networks used for? 4. Introduction

Research and Practice of Tobacco Industrial Companies Sales Forecast Based on ARMA Model, Seasonal Fluctuation and Policy Factor

Advances in Intelligent Systems Research, volume 133 2nd International Conference on Artificial Intelligence and Industrial Engineering (AIIE2016) Research and Practice of Tobacco Industrial Companies

An Indian Journal FULL PAPER ABSTRACT KEYWORDS. Trade Science Inc. XML data mining research based on multi-level technology

[Type text] [Type text] [Type text] ISSN : 0974-7435 Volume 10 Issue 13 BioTechnology 2014 An Indian Journal FULL PAPER BTAIJ, 10(13), 2014 [7602-7609] XML data mining research based on multi-level technology

Improved Boiler Performance using Targeted Sootblower Activation

Improved Boiler Performance using Targeted Sootblower Activation Steve Piche, Fred Pickard and Eric Beiler NeuCo 12 Post Office Square, 4 th Floor Boston, MA 02109 piche@neuco.net, pickard@neuco.net, ebeiler@neuco.net

Programmable Ramp / Soak PID Temperature Controller For High Temperature Furnace (20 digit display Model: PRC-312)

Programmable Ramp / Soak PID Temperature Controller For High Temperature Furnace (20 digit display Model: PRC-312) Model Wise Descriptions: Sr. No Model Product Description 12.5 PRC-312-F 12.6 PRC-312-U

Parameter Identification for State of Discharge Estimation of Li-ion Batteries

Parameter Identification for State of Discharge Estimation of Li-ion Batteries * Suchart Punpaisarn ) and Thanatchai Kulworawanichpong 2) ), 2) Power System Research Unit, School of Electrical Engineering

Temperature Controllers: JCL-33 Digital Indicating Controller with Ramp/Soak JCL-33. Powerful 1/32 DIN Controller...at the lowest price anywhere

JCL-33 Powerful 1/32 DIN Controller...at the lowest price anywhere Structure IP66 Protective construction Black enclosure Programmable Alarms Units feature standard single alarm output Input Range Table

Intrusion 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

A FUZZY PI CONTROLLER APPLICATION IN BOILERS OF THERMAL POWER PLANTS

A FUZZY PI CONTROLLER APPLICATION IN BOILERS OF THERMAL POWER PLANTS İlhan Kocaarslan 1 Ertuğrul Çam 2 Hasan Tiryaki 3 M. Cengiz Taplamacıoğlu 4 1,2,3 Kirikkale University, Department of Electrical & Electronics

Software Development Cost and Time Forecasting Using a High Performance Artificial Neural Network Model

Software Development Cost and Time Forecasting Using a High Performance Artificial Neural Network Model Iman Attarzadeh and Siew Hock Ow Department of Software Engineering Faculty of Computer Science &

Using Thermocouple Sensors Connecting Grounded and Floating Thermocouples

Connecting Grounded and Floating Thermocouples For best performance, Thermocouple sensors should be floating. This will ensure that no noise currents can flow in the sensor leads and that no common-mode

A Road Grade Recognition Method Based on Longitudinal Acceleration Fu Yao 1,a, YE Wan-hua 2,b,Lei Yu-long * 3,c,Liu Zhen-jie 4,d,Zeng Hua-bing 5,e ;

Applied Mechanics and Materials Online: 213-7-15 ISSN: 1662-7482, Vol. 339, pp 38-44 doi:1.428/www.scientific.net/amm.339.38 213 Trans Tech Publications, Switzerland A Road Grade Recognition Method Based

Performance Evaluation On Human Resource Management Of China S Commercial Banks Based On Improved Bp Neural Networks

Performance Evaluation On Human Resource Management Of China S *1 Honglei Zhang, 2 Wenshan Yuan, 1 Hua Jiang 1 School of Economics and Management, Hebei University of Engineering, Handan 056038, P. R.

A Framework for Intelligent Online Customer Service System

A Framework for Intelligent Online Customer Service System Yiping WANG Yongjin ZHANG School of Business Administration, Xi an University of Technology Abstract: In a traditional customer service support

Designing with Labview

EE/CME 392 Laboratory 8-1 Designing with Labview Temperature Measurement with ADC controlled by Labview Safety: In this lab, voltages are less than 15 volts and this is not normally dangerous to humans.

COMPARISON BETWEEN MELTING AND FREEZING POINTS OF ALUMINUM AND SILVER

COMPARISON BETWEEN MELTING AND FREEZING POINTS OF ALUMINUM AND SILVER R. Ding, M.J. Zhao, D. Cabana, D. M. Chen Fluke Corp. - Hart Scientific Division 799 East Utah Valley Drive American Fork, Utah 84003-9775,

ARTIFICIAL NEURAL NETWORKS FOR ADAPTIVE MANAGEMENT TRAFFIC LIGHT OBJECTS AT THE INTERSECTION

The 10 th International Conference RELIABILITY and STATISTICS in TRANSPORTATION and COMMUNICATION - 2010 Proceedings of the 10th International Conference Reliability and Statistics in Transportation and

Position Sensors MicroSense, LLC

Understanding Capacitive Position Sensors 2011 MicroSense, LLC Table of Contents 1. Introduction to Capacitive Sensors... 3 1.1 Characteristics of Capacitive Sensors... 3 1.1.1 Non Contact... 3 1.1.2 High

Role of Neural network in data mining

Role of Neural network in data mining Chitranjanjit kaur Associate Prof Guru Nanak College, Sukhchainana Phagwara,(GNDU) Punjab, India Pooja kapoor Associate Prof Swami Sarvanand Group Of Institutes Dinanagar(PTU)

ELECTRICAL ENGINEERING Vol. I - Electromagnetic Devices and Magnetic Circuits - W.L. Chan and K.K. Li ELECTROMAGNETIC DEVICES AND MAGNETIC CIRCUITS

ELECTROMAGNETIC DEVICES AND MAGNETIC CIRCUITS W.L. Chan and K.K. Li Department of Electrical Engineering, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, P R China Keywords: Electromagnetic

The Design of DSP controller based DC Servo Motor Control System

International Conference on Advances in Energy and Environmental Science (ICAEES 2015) The Design of DSP controller based DC Servo Motor Control System Haiyan Hu *, Hong Gu, Chunguang Li, Xiaowei Cai and

Iranian J Env Health Sci Eng, 2004, Vol.1, No.2, pp.51-57. Application of Intelligent System for Water Treatment Plant Operation.

Iranian J Env Health Sci Eng, 2004, Vol.1, No.2, pp.51-57 Application of Intelligent System for Water Treatment Plant Operation *A Mirsepassi Dept. of Environmental Health Engineering, School of Public

LABORATORY 2 THE DIFFERENTIAL AMPLIFIER

LABORATORY 2 THE DIFFERENTIAL AMPLIFIER OBJECTIVES 1. To understand how to amplify weak (small) signals in the presence of noise. 1. To understand how a differential amplifier rejects noise and common

Process Instrumentation Terminology

Process Instrumentation Terminology Accuracy - Degree of conformity of an indicated value to a recognized accepted standard value, or ideal value. Accuracy, measured - The maximum positive and negative

A Network Simulation Experiment of WAN Based on OPNET

A Network Simulation Experiment of WAN Based on OPNET 1 Yao Lin, 2 Zhang Bo, 3 Liu Puyu 1, Modern Education Technology Center, Liaoning Medical University, Jinzhou, Liaoning, China,yaolin111@sina.com *2

A Health Degree Evaluation Algorithm for Equipment Based on Fuzzy Sets and the Improved SVM

Journal of Computational Information Systems 10: 17 (2014) 7629 7635 Available at http://www.jofcis.com A Health Degree Evaluation Algorithm for Equipment Based on Fuzzy Sets and the Improved SVM Tian

APPLICATION OF ADVANCED SEARCH- METHODS FOR AUTOMOTIVE DATA-BUS SYSTEM SIGNAL INTEGRITY OPTIMIZATION

APPLICATION OF ADVANCED SEARCH- METHODS FOR AUTOMOTIVE DATA-BUS SYSTEM SIGNAL INTEGRITY OPTIMIZATION Harald Günther 1, Stephan Frei 1, Thomas Wenzel, Wolfgang Mickisch 1 Technische Universität Dortmund,

AN APPLICATION OF TIME SERIES ANALYSIS FOR WEATHER FORECASTING

AN APPLICATION OF TIME SERIES ANALYSIS FOR WEATHER FORECASTING Abhishek Agrawal*, Vikas Kumar** 1,Ashish Pandey** 2,Imran Khan** 3 *(M. Tech Scholar, Department of Computer Science, Bhagwant University,

Introduction to Machine Learning and Data Mining. Prof. Dr. Igor Trajkovski trajkovski@nyus.edu.mk

Introduction to Machine Learning and Data Mining Prof. Dr. Igor Trakovski trakovski@nyus.edu.mk Neural Networks 2 Neural Networks Analogy to biological neural systems, the most robust learning systems

A Robustness Simulation Method of Project Schedule based on the Monte Carlo Method

Send Orders for Reprints to reprints@benthamscience.ae 254 The Open Cybernetics & Systemics Journal, 2014, 8, 254-258 Open Access A Robustness Simulation Method of Project Schedule based on the Monte Carlo

Temp. & humidity Transmitter Instructions

Temp. & humidity Transmitter Instructions AW3010/AW3010Y www.aosong.com 1 Product Overview AQ3010/AQ3010Y voltage temperature and humidity transmitter with digital temperature and humidity sensor AM2305

Modeling and Analysis of Shared/Common DC Bus Operation of AC Drives (Part I)

IEEE Industry Application Society Annual Meeting New Orleans, Louisiana, Oct ober 5-9, 1997 Modeling and Analysis of Shared/Common DC Bus Operation of AC Drives (Part I) Ajith. H. Wijenayake Tom Gilmore

The Research on Demand Forecasting of Supply Chain Based on ICCELMAN

505 A publication of CHEMICAL ENGINEERING TRANSACTIONS VOL. 46, 2015 Guest Editors: Peiyu Ren, Yancang Li, Huiping Song Copyright 2015, AIDIC Servizi S.r.l., ISBN 978-88-95608-37-2; ISSN 2283-9216 The

Digital-to-Analog Conversion

Digital-to-Analog Conversion Curtis A. Nelson Engr355 1 Introduction Connecting digital circuitry to sensor devices is simple if the sensor devices are inherently digital themselves. Switches, relays,

CONCEPTUAL MODEL OF MULTI-AGENT BUSINESS COLLABORATION BASED ON CLOUD WORKFLOW

CONCEPTUAL MODEL OF MULTI-AGENT BUSINESS COLLABORATION BASED ON CLOUD WORKFLOW 1 XINQIN GAO, 2 MINGSHUN YANG, 3 YONG LIU, 4 XIAOLI HOU School of Mechanical and Precision Instrument Engineering, Xi'an University

Process Control Primer

Process Control Primer At the onset of the Industrial Revolution, processes were controlled manually. Men turned valves, pulled levers or changed switches based on the need to turn devices on or off. As

Wave Shaping Of Current Using PWM Rectifiers

International Journal of Engineering and Technical Research (IJETR) Wave Shaping Of Current Using PWM Rectifiers Mahasweta Bhattacharya, Ashish Srivastava Abstract The paper presents the modeling and analysis

SIMULATION OF PWM CONTROLLED BUCK-BOOST AC VOLTAGE REGULATOR

http:// SIMULATION OF PWM CONTROLLED BUCK-BOOST AC VOLTAGE REGULATOR P. Guru Naresh 1, S k. Dawood 2, Dr. Abdul Ahad 3 1 Student, Dept.of EEE, Nimra Institute of Science & Technology, Ibrahimpatnam, VJA

Performance Evaluation and Prediction of IT-Outsourcing Service Supply Chain based on Improved SCOR Model

Performance Evaluation and Prediction of IT-Outsourcing Service Supply Chain based on Improved SCOR Model 1, 2 1 International School of Software, Wuhan University, Wuhan, China *2 School of Information

On-Line Prediction of Multiprocessor Memory Access Patterns

Proceedings of the IEEE International Conference on Neural Networks, p. 1564, (1996) On-Line Prediction of Multiprocessor Memory Access Patterns M.F. Sakr 1,2, C. L. Giles 1,5, S. P. Levitan 2, B. G. Horne

Design of Network Educating Information System Based on Use Cases Driven Shenwei Wang 1 & Min Guo 2

International Symposium on Social Science (ISSS 2015) Design of Network Educating Information System Based on Use Cases Driven Shenwei Wang 1 & Min Guo 2 1 College of Electronic and Control Engineering,

Estimation of State of Charge of Batteries for Electric Vehicles

Estimation of State of Charge of Batteries for Electric Vehicles 1,a Haiying Wang, 1 Yang Liu, 1 Hang Fu and 1,2 Gechen Li 1 Harbin University of Science and Technology, School of Automation, China 2 R&D,

Artificial Neural Network and Non-Linear Regression: A Comparative Study

International Journal of Scientific and Research Publications, Volume 2, Issue 12, December 2012 1 Artificial Neural Network and Non-Linear Regression: A Comparative Study Shraddha Srivastava 1, *, K.C.