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《Power Engineering》 2005-05
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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
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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
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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
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
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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
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