FAULT DIAGNOSE OF THE RECIPROCATING COMPRESSOR BASED ON ART—ARTIFICIAL IMMUNE NETWORK

Abstract

Abstract: Fault diagnosis of the multilevel reciprocating compressor is very complex. Based on the point view of complementary strategies, a new fault diagnosis’s method which integrates the ART and the artificial immune network is put forward. It can be used to enrich the data. Then the mapping of the causation between the reason and the result can be created, so the diagnosing is accomplished. The step of the new method is discussed detailedly. Additionally, a criterion about the data enriching are put forward. The correctness and the effectiveness of the method are proved by the experiment.

Key words: Artificial immune networ, ART, Fault diagnosis, Reciprocating compressor

CLC Number:

TP273

Du Haifeng;Wang Sun’an. FAULT DIAGNOSE OF THE RECIPROCATING COMPRESSOR BASED ON ART—ARTIFICIAL IMMUNE NETWORK[J]. , 2002, 38(4): 88-90.

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FAULT DIAGNOSE OF THE RECIPROCATING COMPRESSOR BASED ON ART—ARTIFICIAL IMMUNE NETWORK

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