Combination of grey theory and fuzzy-set in engine fault diagnosis

Abstract

Abstract:

When failures appear in the aviation engine,maintenance programs are now generally implemented through standardized processes. However,standardized processes cannot contain all the failures,which leads to inefficient problem solutions or no solutions. On the other hand,the same problem may be resolved soon for experienced engineers. Case-based reasoning (CBR)means to use a new case to match with practical application cases,which can imitate the process how those experienced engineers determinate and solve problems. Vector projection learning algorithm combined with grey theory and fuzzy set is studied and is applied for engine fault diagnosis,by which a good result have been achieved.

Key words: aero-engine, grey theory, case, fault diagnosis

CLC Number:

V228

CAO Huiling,ZHANG Xiangbo,QU Chungang,XUE Peng. Combination of grey theory and fuzzy-set in engine fault diagnosis[J]. .

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Combination of grey theory and fuzzy-set in engine fault diagnosis

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