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


Article Preview

. 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.



Advanced Materials Research (Volumes 129-131)

Edited by:

Xie Yi and Li Mi






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




[1] G. Petela, R. Motriuk, M. Betz, V. Stokung: Centrifugal Compressor Health Diagnostics Based on Internal Noise Spectrum. Proceedings of the 2002 International Conference on Noise and Vibration Engineering, (2002), pp.1507-1518.

[2] P. Wang. The Research of Intelligent Methods on Fault Diagnosis for Centrifugal Compressor. Daqing Pettoleum Institute, (2006), pp.21-37.

[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.

DOI: 10.1016/j.techfore.2005.07.004

[6] J. S. Chen, C. H. Cheng: Extracting Classification Rule of Software Diagnosis using Modified MEPA. Expert Systems with Applications, Vol. 34, No. 1 (2008), pp.411-418.

DOI: 10.1016/j.eswa.2006.09.042

[7] Z. Li, X. Chen, Z. Liu: Gray Relational Degree Method for Fault Diagnosis Based on Envelope Analysis. Journal of Vibration, Measurement and Diagnosis, Vol. 21, No. 1 (2001), pp.54-58.

[8] J. F. Chai, M. Wang, R. Y. Fei, et al: Application of Grey Relation Analysis in Diamond Blunt Identification. China Mechanical Engineering, Vol. 18, No. 3 (2007), pp.269-272.

In order to see related information, you need to Login.