Research on Running Condition Recognition of Mechanical Equipment and Fault Diagnosis Method Based on Fuzzy Evaluation

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Abstract:

Apply fuzzy evaluation method to research on running state recognition of mechanical equipment and fault diagnosis, define concept of classification weight of index, give out calculation method. On the basis of analysis of fault datasheet that records expert knowledge, build mathematical model of recognition and evaluation on running condition of mechanical equipment based on uncertainty measurement. Calculation examples show the effectiveness of this method and the reliability of calculation results.

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Periodical:

Advanced Materials Research (Volumes 146-147)

Pages:

530-535

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Online since:

October 2010

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© 2011 Trans Tech Publications Ltd. All Rights Reserved

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[1] Beynon M J. Variable precision rough set theory and data discretisation : an application to corpotate failure prediction Omega, 2001, 29(6): 561~576.

DOI: 10.1016/s0305-0483(01)00045-7

Google Scholar

[2] Wang P Z, Yu Y Z. Fuzzy systems theory and fuzzy computers. Beijing: Sciece press, 2002. 91~95.

Google Scholar

[3] Liu Kaidi, Cao Qingkui, Pang Yanjun. Fault diagnosis methods based on uncertain set. Journal of Automation, 2004, 30(5): 747~755.

Google Scholar

[4] Pawlak Z. Rough sets and intelligent data analysis. Information Sciences, 2002, 147(1~4): 1~12.

DOI: 10.1016/s0020-0255(02)00197-4

Google Scholar

[5] Wu M S(translated). Probality and information . Shanghai : Science and tehnology press of Shanghai, 1994. 29~88.

Google Scholar

[6] Zadeh L A. Fuzzy sets. Information and contral 1995, 9(8): 338~353.

Google Scholar

[7] Zhao rongzhen, Zhang Youyun. Study of clustering dispersion methods of fault datasheet based on Rough set knowledge acquisition. Journal of mechanical engineering, 2005, 41(1): 145~150.

Google Scholar