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《Journal of Power Engineering》 2006-03
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Fault Diagnosis of Processes in Power Plants Based on Dynamic Time Warping

NIU Zheng,NIU Yu-guang,LIU Ji-zhen,LI Yu-rong(Department of Automation,North China University of Electric Power,Baoding 071003,China)  
Considering the difficulties of applying mathematical models for fault diagnosis of so complicated process,as existing in power plants,a diagnosing method,based on the dynamic time warping(DTW) technique,is being proposed,which doesn't depend on mathematical models but is based on data analysis of relevant processes,and therefore is suitable for power plants.First of all,a fault pattern bank is formed through historical data analysis and process knowledge.Then later on in the course of fault diagnosing,detected samples are subjected to pattern matching with the fault pattern bank by making use of the DTN technique.Finally,a best matching fault sample,stored in the bank,is found according to its measure of comparability and with it the result of diagnosis.Taking fresh steam temperature control process as an example,a simulation test of the mentioned method has been performed,which shows that,considering the versatility of behavior of operational processes in power plants,the said method is featured by relatively high diagnosing precision and robustness.Figs 2,tables 3 and refs 8.
【Fund】: 国家自然科学基金资助项目(50576022)
【CateGory Index】: TM711
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【Citations】
Chinese Journal Full-text Database 3 Hits
1 Xu Bo (School of Automation Science and Electrical Engineering,Beijing University of Aeronautics and Astronautics,Beijing 100083,China)Tang Hailong (School of Jet Propulsion,Beijing University of Aeronautics and Astronautics,Beijing 100083,China)Li Xingshan (School of Automation Science and Electrical Engineering,Beijing University of Aeronautics and Astronautics,Beijing 100083,China);DTW based quantitative fault diagnosis of gas path component in turbofan[J];Journal of Beijing University of Aeronautics and Astronautics;2004-06
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【Co-citations】
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【Co-references】
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