Application of Local Wave Method, ApEn and ANFIS in Fault Diagnosis for Rotating Machinery

摘要：

This paper presents a new approach to machine health monitoring based on the Local Wave Method and the Approximate Entropy (ApEn). As the working condition of a machine system deteriorates, the number of frequency components contained in the fault vibration signal will be more than that in healthy signal, resulting in a decrease in its regularity and an increase in its corresponding ApEn value12. So ApEn with Local Wave Method are used in mechanical fault diagnosis. The result has shown that values of ApEn can effectively characterise the severity of structural defect with good computational efficiency. And the values of ApEn will be used as the input of ANFIS to classify and recognize the fault severity13.

关键词： Local wave Appropriate Entropy fault diagnosis

作者: CHEN Jianguo WANG Fengtao MA Xiaojiang

作者单位: Key Laboratory for Precision and Non-traditional Machining Technology of Ministry of Education School of Mechanical Engineering, Dalian University of Technology, Dalian, China, 116023

会议类型: 国际会议

会议名称: 第七届国际测试技术研讨会

会议地点: 北京

会议语种:英文

在线出版日期: 2007-08-05（万方平台首次上网日期，不代表论文的发表时间）