Paper Title:
Research on Fault Diagnosis for Centrifugal Compressor Using Entropy-Based Fuzzy Gray Relational Analysis
  Abstract

. 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, Z. Z. Yang, Z. He, "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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Price
$32.00
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