The study of fault-diagnosis method of reciprocating compressor based on fuzzy fault tree theory

Since working condition of reciprocating compressor is awfully bad and it has bigger risk in operation and higher fault rate, it is of importance to study reciprocating compressor fault. Fault tree has been established in this paper by analyzing factors leading reciprocating compressor fault based on the method of fault tree. 21 minimum cut sets leading to reciprocating compressor fault can be gotten through qualitative analyses on this fault tree, the happening probability of the top event can be calculated and the importance of the basic event s can be analyzed through quantitative analysis. The expert inquiry method combined with fuzzy sets theory is adopted to assess the happening probability of the basic events and top events. Reciprocating compressor is extensively used in many petroleum and chemical enterprises for high compression ratio of single stage and high work efficiency. Once the machines are abnormal and fault,it will affect the normal production, bring huge economic loss.Development of reciprocating compressor fault diagnosis, fault elimination can be invisible, the normal operation of the machine can be ensured, economic benefit be improved. ([1]) Application of fuzzy fault tree theory can effectively diagnose reciprocating compressor failure probability, and quickly identify the predisposing factors causing failure.