Full-Text Search:
Home|Journal Papers|About CNKI|User Service|FAQ|Contact Us|中文
《Power Engineering》 2005-05
Add to Favorite Get Latest Update

Research on Turbo-generator Fault Diagnosis Using Probabilistic Neural Networks

ZHANG Jian-hua, HOU Guo-lian, SUN Xiao-gang, YUAN Gui-li(Department of Automation, North China University of Electric Power, Beijing 102206,China)  
Based on probabilistic neural networks (PNN), a new way of fault diagnosis of steam turbine units is suggested to overcome problems met with back propagation neural networks (BPNN) like slow convergence of learning and liability of dropping into local minima. PNN can meet the needs of real-time requirements due to its simple learning algorithm, and quick training and generalizing property. In addition, newly trained patterns can easily be supplemented to the already trained classifier, thus facilitating the improvement of the accuracy of diagnosis results. Simulation results show that the proposed method is featured by swiftness, accuracy and ease of practical application.Fig 1,tables 2 and refs 9.
【Fund】: 电力行业青年促进资助项目(SPQKJ015);; 国家留学基金委资助(99330021)
【CateGory Index】: TK267
Download(CAJ format) Download(PDF format)
CAJViewer7.0 supports all the CNKI file formats; AdobeReader only supports the PDF format.
【References】
Chinese Journal Full-text Database 7 Hits
1 Li Yan, Wang Dongfeng, Han Pu (School of Control Science and Engineering,North China Electric Power University,Baoding 071003,China);Fault Diagnosis of Steam Turbine Based on Kernel Principal Component Analysis and Multistage Neural Network Ensemble[J];Electric Power Science and Engineering;2009-06
2 WAN Xu-cai,LIU Tong,XU Li-hai,LI Shao-ning(1.South-west Electric Design Institute,Chengdu 610021,China;2.MOE'S Key Lab of Condition Monitoring and Control of Power Plant Equipment,North China University of Electric Power,Beijing 102206,China);Analysis of Anomalous Conditions of Boilers Based on Attributive Fuzzy Clustering and Association Rules[J];Journal of Power Engineering;2007-03
3 Xiao Shao-yu Wang Hao Wu Ying-you Zhang Qi China Ship Development and Design Center,Wuhan 430064,China;Application of Statistics in Vibration Monitoring of Structureborne Noise[J];Chinese Journal of Ship Research;2008-04
4 LV Xiu-jiang,YU Hai-tao,DU Gui-ming(Electrical and Electronic Engineering College,Changchun Technology University,Changchun 130012,China);Based on Improving ART2 Network Diagnosing Steam Turbine Set Failure[J];Coal Mine Machinery;2009-01
5 SUN Bin,ZHOU Yun-long,XIANG Xin-xing,DOU Hua-rong (School of Energy Resources and Mechanical Engineering , Northeast Dianli University, Jilin 132012, Jilin Province, China);Identification Method of Gas-liquid Two-Phase Flow Regime Based on Empirical Mode Decomposition and Probabilistic Neural Network[J];Proceedings of the CSEE;2007-17
6 LUAN Mei-jie,XU Fei-yun,JIA Min-ping(Southeast University,Mechanical Engineering Institute,Nanjing 210096,China);Research on the Neural Network in Rotating Machinery Fault Diagnosis[J];Noise and Vibration Control;2008-01
7 Liu Desheng Cao Jun Hua Jun;Fault Diagnosis Based on Probabilistic Neural Network(PNN) for Glue Dosage of Particleboard[J];Process Automation Instrumentation;2009-09
【Citations】
Chinese Journal Full-text Database 3 Hits
1 LIU Jun hua, HUANG Shu hong, LU Ji dong (Dept. of Power and Engrg., Huazhong Univ. of Science and Technology, Wuhan 430074, China);Development of Fault Diagnosis for Steam Turbines[J];Power Engineering;2001-02
2 ZHANG Liping1, WANG Tiesheng2, SUO Lisheng1(1. College of Water Conservancy and Hydropower Engineering, Hohai Univ., Nanjing 210098, China; 2. College of Civil Engineering, Hohai Univ., Nanjing 210098, China);Application of improved BP algorithm to fault diagnosis of steam turbine-generator sets[J];Journal of Hehai University (Natural Sciences );2003-02
3 YAO Zhi-hong (Electric and Electronic engineering college Nanjing Nomal University ,Nanjing 210042,China);The Application of Kohonen Network to the Diagnosis of Oscillation Breakdowns in Steam Turbine[J];Turbine Technology;2004-01
【Co-references】
Chinese Journal Full-text Database 10 Hits
1 LI Duan,YU Fa-shan(Department of Electrical Engineering,Henan Polytechnic University,Jiaozuo 454000,China);Study on electronic circuit fault diagnosis based on D-S evidential theory[J];Transducer and Microsystem Technologies;2006-09
2 Ao Dekui, Shao Cairui, et al .;On Artificialized intelligence Stratigraphic Correlation Method and Its Application.[J];Well Logging Technology;2000-S1
3 Shi Zhenfei,Xu Haiping,Zhu Dehuai,;A New Technique to Enhance Logging Data Resolution of Thin Bed.[J];Well Logging Technology;2001-02
4 Wu Wensheng.;The Uses of Monte Carlo Method in Nuclear Logging.[J];Well Logging Technology;2001-06
5 Liu Guoqing,Liu Jiang,Zhang Meiling,et al..;A Processing Method of GR Logs with High Resolutions.[J];Well Logging Technology;2002-03
6 Peng Hu;Response Function System of Natural Gamma-ray Log Based on Bell Functions[J];Well Logging Technology;2003-06
7 Wang Ruiping et al.;On Application of Mahalanobis Distance Judgement to Reservoir Zonation[J];WELL LOGGING TECHNOLOGY;1995-01
8 Fan Yiren et al.;Vertical Resolution Enhancement Technique for Compensated Density Log.[J];WELL LOGGING TECHNOLOGY;1995-02
9 Tang Tingdong.;New Achievements of China Well Logging Technology[J];WELL LOGGING TECHNOLOGY;1996-01
10 , Du, S. X.: .;Integrated Log Interpretation Program Having the Ability to Separate Layers Automatically[J];WELL LOGGING TECHNOLOGY;1996-02
【Secondary References】
Chinese Journal Full-text Database 8 Hits
1 ZHOU Yun-long1,ZHANG Xue-qing2,SUN Bin11.School of Energy and Mechanical Engineering,Northeast Dianli University,Jilin Jilin 132012,China;2 School of Automation Engineering,Northeast Dianli University,Jilin Jilin 132012,China;Method for Identifying Gas/Liquid Two-Phase Flow Patterns Using Conductance Probes Technique and Noise Recognition of Conductance Fluctuating Signals[J];Chinese Journal of Sensors and Actuators;2008-10
2 LIN Li,ZHAO De-you (Department of Naval Architecture,Dalian University of Technology,Dalian 116085,China);Identification of acoustic emission signals ofoffshore structures with both local wave method and neural network[J];Journal of Harbin Engineering University;2008-07
3 LIU Fei AI Yan-ting WANG Zhi (Aero-engine and Energy School,Shenyang Institute of Aeronautical Engineering,Liaoning Shenyang 110136);Whole body vibration condition evaluation of aero-engine on grey correlation degree[J];Journal of Shenyang Institute of Aeronautical Engineering;2008-05
4 Xiao Shao-yu Wang Hao Wu Ying-you Zhang Qi China Ship Development and Design Center,Wuhan 430064,China;Application of Statistics in Vibration Monitoring of Structureborne Noise[J];Chinese Journal of Ship Research;2008-04
5 XING Lan-chang,GENG Yan-feng,SUN Miao-miao(College of Information and Control Engineering,China University of Petroleum,Dongying 257061,Shandong Province,China);A New Correlation of Slotted Orifice for Gas-liquid Two-phase Flow With Low Liquid Fractions[J];Proceedings of the CSEE;2008-14
6 ZHOU Yun-long, LI Hong-wei, HE Qiang-yong ((Northeast Dianli University, Jilin 132012, Jilin Province, China));Chaotic Characteristic Analysis of Oil-air-water Three-phase Flow in Vertical Upward Pipe Based on Image Gray Signals[J];Proceedings of the CSEE;2008-35
7 LIU Hong,LEI Yong,YAN Fei(School of Power and Energy,Northwestern Polytechnical University,Xi'an 710072,China);Development and Application of Vibration Analysis System for Aircraft Engine Testing[J];Noise and Vibration Control;2009-01
8 Zhou Yunlong~1,Zhang Xueqing~2,Zhang Songlin~2 (1 School of Energy and Mechanical Engineering,Northeast Dianli University,Jilin 132012,China; 2 School of Automation Engineering,Northeast Dianli University,Jilin 132012,China);Applied study on flow regime identification of gas-liquid two-phase flow based on Hilbert-Huang transform and HMM[J];Chinese Journal of Scientific Instrument;2009-07
【Secondary Citations】
Chinese Journal Full-text Database 3 Hits
1 Ge Zhihua,Niu Yuguang,Li Ruxiang,Song Zhiping (North China Electric Power University, Baoding China 071003);Study on Self-learning for Vibration Fault Diagnosis System of Turbogenerator Unit[J];TURBINE TECHNOLOGY;1999-05
2 Wu Meng Gong Bi He Zhenya (Department of Radio Engineering,Southeast University Nanjing,210018);Artificial Neural Networks and Machinery Fault Diagnosis[J];Journal of Vibration Engineering;1993-02
3 ;Vibration Failure Diagnosis of Steam Turbine-Generator Set Based on BP Network Model[J];ELECTRIC POWER;1996-04
©2006 Tsinghua Tongfang Knowledge Network Technology Co., Ltd.(Beijing)(TTKN) All rights reserved