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汽轮机通流部分故障诊断方法研究综述与展望 被引量:15

Research Overview and Prospects of Fault Diagnosis Technique of Steam Turbine Flow Passage
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摘要 研究先进的汽轮机通流部分故障诊断方法,对提高汽轮机运行安全性以及经济性具有重要意义。在介绍国内外汽轮机通流部分故障诊断方法研究的发展现状基础上,对智能故障诊断方法进行了对比分析。最后提出了一种基于经验模态分解(EMD)的超超临界汽轮机组通流部分故障诊断方法。 It is of great significance to improve the operating safety and the economic efficiency of steam turbines by studying advanced fault diagnosis techniques of steam turbine flow passage. The paper introduced the current development of the research of fault diagnosis techniques of steam turbine flow passage in our country and abroad, compared and analyzed the current intelligent fault diagnosis techniques. A fault diagnosis technique of ultra-supercritical steam turbine flow passage was proposed, which is based on Empirical Mode Decomposition(EMD).
出处 《电站系统工程》 北大核心 2014年第3期12-14,共3页 Power System Engineering
基金 中央高校基本科研业务费专项资金资助
关键词 汽轮机 通流部分 智能故障诊断 经验模态分解 steam turbine flow passage intelligent fault diagnosis empirical mode decomposition(EMD)
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参考文献17

  • 1武作民.汽轮机在电力工业中的应用现状及发展[J].金山,2012,(9):23.
  • 2郑健富.我国汽轮机行业发展概况[J].发电设备,2009,23(1):1-3. 被引量:5
  • 3Ray Beebe.Condition monitoring of steam turbines by performance analysis [J].Journal of Quality in Maintenance Engineering,2003,9(2):102-112.
  • 4Karlsson C,Arriagada J,Genrup M.Detection and interactive isolation of faults in steam turbines to support maintenance decisions [J].Simulation Modeling Practice and Theory,2008,16(10):1689-1703.
  • 5M Fast,T Palme.Application of artificial neural networks to the condition monitoring and diagnosis of a combined heat and power plant [J].Energy,2010,35:1114-1120.
  • 6Karim Salahshoor,Mojtaba Kordestani,Majid S Khoshro.Fault detection and diagnosis of an industrial steam turbine using fusion of SVM and ANFIS classifiers [J].Energy,2010,35:5472-5482.
  • 7Karim Salahshoor,Mojtaba Kordestani,Majid S Khoshro,Fault detection and diagnosis of an industrial steam turbine using a distributed configuration of adaptive neuro-fuzzy inference systems [J].Simulation Modeling Practice and Theory,2011,19:1280-1293.
  • 8史进渊.汽轮机通流部分故障诊断模型的研究[J].中国电机工程学报,1997,17(1):29-32. 被引量:26
  • 9高洪涛,黄钟岳.基于热力计算的神经网络在汽轮机通流部分热参数诊断中的应用[A].第一届全国诊断工程技术学术会议论文集[C].武汉:华中理工大学出版社,2001.222-226.
  • 10江宁,李政.核电汽轮机通流部分性能监测与故障诊断[J].核动力工程,2004,25(1):4-7. 被引量:10

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