Research on Fault Diagnosis for Centrifugal Compressor Using Entropy-Based Fuzzy Gray Relational Analysis-Reference-Cited by-同舟云学术

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

Published:2010-08 Issue: Volume:129-131 Page:1-6
ISSN:1662-8985
Container-title:Advanced Materials Research
language:
Short-container-title:AMR

Author:

Li Lan Yun¹,Yang Zhuan Zhao²,He Zhi¹

Affiliation:

1. Xi’an Shiyou University

2. Tubular Goods Research Center of CNPC

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.

Publisher

Trans Tech Publications, Ltd.

Subject

General Engineering

Link

https://www.scientific.net/AMR.129-131.1.pdf

Reference8 articles.

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3. Y. Li, W. M. Wang, J. J. Gao, S. X. Li: An Experimental Study on the Self-recovery Regulation System of Centrifugal Compressor Axial Displacement Fault. WSEAS Transactions on Systems, Vol. 8, No. 11 (2009), pp.1217-1227.

4. Q. S. Zeng, X. J. Wang: Fault Diagnosis of Centrifugal Compressor Vibration Based on Wavelet Power Spectrum and Rough Set Theory. Journal of Central South University (Science and Technology), Vol. 40, No. 3 (2009), pp.706-710.

5. C. H. Cheng, J. R. Chang, C. A. Yeh: Entropy-based and Trapezoid Fuzzification-based Fuzzy Time Series Approaches for Forecasting IT Project Cost. Technological Forecasting and Social Change, Vol. 73, No. 5 (2006), pp.524-542.

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