Research on Fault Diagnosis Method of Principal Components Analysis and D-S Evidence Theory

摘要：

According to the problem of amount and complexity of calculation exponent increased with the measurement dimension increment when multi-data source related by D-S Fusion arithmetic, a fault diagnosis method combined PCA and D-S evidence theory is proposed. Then, the characteristic of data dimension reduction of PCA and the completeness of fault diagnosis and the advantage of presenting and reasoning inaccurate information of evidence theory are utilized, and the problem of non-uniqueness of fault isolation of PCA and combination explosion of evidence theory is solved. And calculation amount and complexity are reduced quit, and the simulation study on boiler feed water control system shows that the fault of sensor can be isolated correctly and effectively by this method.

关键词： fault diagnosis D-S evidence theory principal components analysis power plant

作者: Peng Tong Lian-suo An Ji Zhang Yu-tao Liu

作者单位: Department of Power Engineering, Baoding Technical College of Electric Power, Baoding 071003, China Department of Power Engineering, North China Electric Power University, Baoding 071003, China Department of Computer, North China Electric Power University, Baoding 071003, China Department of Mathematics & Physics, North China Electric Power University, Baoding 071003, China

会议类型: 国际会议

会议名称: 2009年中国控制与决策会议(2009 Chinese Control and Decision Conference)

会议地点: 广西桂林

会议语种:英文

页码: 1601-1605

在线出版日期: 2009-06-17（万方平台首次上网日期，不代表论文的发表时间）