Research on Fault Diagnosis for Centrifugal Compressor Using Entropy-Based Fuzzy Gray Relational Analysis

Abstract:

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. A novel fault diagnosis method for centrifugal compressor was proposed by using entropy- based 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.

Info:

Periodical:

Advanced Materials Research (Volumes 129-131)

Edited by:

Xie Yi and Li Mi

Pages:

1-6

DOI:

10.4028/www.scientific.net/AMR.129-131.1

Citation:

L. Y. Li et al., "Research on Fault Diagnosis for Centrifugal Compressor Using Entropy-Based Fuzzy Gray Relational Analysis", Advanced Materials Research, Vols. 129-131, pp. 1-6, 2010

Online since:

August 2010

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$35.00

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