Mechanical Fault Diagnosis using Vague Sets

摘要：

The similarity measure formula is the base of mechanical fault diagnosis using vague sets. There procedure in the mechanical fault diagnosis is: (ⅰ) set up the standard fault sets and extract the candidate set which is to be detected, (ⅱ) Get the filtered features, (ⅲ) Process the data including standard sets and the candidate set in the vague environment: the data is initialized in vague form, (ⅳ) Trigger the fault diagnosis using vague sets: the similarity measure formula between the candidate vague set and the standard library vague sets is found, thus the decision on whether there is a fault can be made. A new similarity measure formula between vague sets A and B is proposed as Mm(A,B)=1-nn∑i=1(1-∣f(m)ai-f(m)bi∣)·(1-1-2∣x(m)ai-x (m)bi∣). The formula and fault diagnosis mechanism are confirmed under the context of rotating machinery. The results are coinciding with that of existing method proposed in references.

关键词： mechanical fault diagnosis similarity measure formula Vague set

作者: Hongxu Wang Xiaochen Zhang Fujin Zhang

作者单位: College of Science and Technology Qiongzhou University Sanya, China Dept. of Electrical Engineering The City College of New York New York, USA College of Electrical Engineering Qiongzhou University Sanya, China

会议类型: 国际会议

会议名称: 2012 International Conference on Electric Technology and Civil Engineering(2012 电子技术与土木工程国际会议 ICETCE 2012)

会议地点: 三峡

会议语种:英文

页码: 1630-1633

在线出版日期: 2012-05-18（万方平台首次上网日期，不代表论文的发表时间）