Fault Diagnosis of Rotating Machinery Based on Evidence Theory of Evidence Entropy

摘要：

In order to improve the accuracy, Dempster-Shafer theory can be applied to the fault diagnosis of rotating machinery. However, the significance level of evidences is different actually when using evidence theory to fuse multi-symptom domains during fault diagnosis of rotating machinery. This paper presents evidence entropy to estimate significance level of evidence, i.e. the weight of evidences. Then, the evidences are adjusted according to the different weights, and the adjusted evidences are fused by the Dempster-Shafer combination rule. After that, the diagnosis result is obtained Finally, through the real example, the research result shows that this method can be used to estimate significance level of evidence and reduces conflicting degree among evidences. Moreover, the effectiveness of the proposed method is also demonstrated.

关键词： rotating machinery fault diagnosis evidence entropy evidence theory.

作者: Xiaodong Zhang Ping Zhang Chunxiang Liu

作者单位: School of Mechanical Engineering,Xian Jiaotong University No.28,Xianning West Road,Xian,Shaanxi,710049,P.R.China

会议类型: 国际会议

会议名称: 2009 9th International Conference on Electronic Measurement & Instruments(第九届电子测量与仪器国际会议 ICEMI2009)

会议地点: 北京

会议语种:英文

页码: 3934-3938

在线出版日期: 2009-08-16（万方平台首次上网日期，不代表论文的发表时间）