Research on Fault Diagnosis for Centrifugal Compressor using Entropy-based Fuzzy Gray Relational Analysis

摘要：

A novel fault diagnosis method for centrifugal compressor was proposed by using entropybased fuzzy gray relational analysis (EF-GRA). Firstly, the minimize entropy principle (MEP) was used to subdivide all real-valued fault features and construct membership functions of fuzzy variables. Secondly, based on the gray theory, the fuzzy-gray relational coefficients (F-GRC) were calculated and the weighted fuzzy-gray relation degrees (WF-GRD) were obtained, so that the diagnostic result can be determined. Finally, a centrifugal compressor fault dataset was used to illustrate the proposed method, and the results show that it has strong engineering practicability and validity.

关键词： Fault Diagnosis Centrifugal Compressor Minimize Entropy Principle Fuzzy Variable Membership Function Gray Relational Analysis

作者: Lanyun Li Zhuanzhao Yang Zhi He

作者单位: Key Laboratory of Materials Processing Engineering,School of Materials Science and Engineering,Xian Tubular Goods Research Center of CNPC,Xian,Shaanxi,710065,P.R.China

会议类型: 国际会议

会议名称: 2010 International Conference on Material and Manufacturing Technology(2010材料与制造技术国际会议 ICMMT2010)

会议地点: 重庆

会议语种:英文

页码: 1-6

在线出版日期: 2010-09-17（万方平台首次上网日期，不代表论文的发表时间）