关键词: 风力发电机组, 故障诊断, 模糊Petri网模型, 正反推理

Abstract: In wind power generator set it is hard to show dynamic behaviors in fault diagnosis. Associating with fuzzy Petri net graphics describing ability and Fuzzy inferential, the FPN models of fault diagnosis and the corresponding algorithm are proposed, according to the actual situation of failure by both forward and backward reasoning algorithm. The instance of gear box’s breakdown is used to verify the algorithm. Practice has proved that this method reduces the failure diagnosis rate and missed diagnosis rate. And the difficult problem of fault diagnosis and prediction for wind power generator set under complex environment is solved.

Key words: wind power generator set, fault diagnosis, fuzzy Petri net model, forward and backward reasoning