关键词: 故障诊断, 故障树, 模糊神经网络

Abstract: For variable amplitude hydraulic system complexity, uncertainty, ambiguity, it proposes fuzzy neural network based on fault tree as a method for variable amplitude hydraulic system fault diagnosis. The method extracts fault diagnosis input and output variables of variable amplitude hydraulic system using fault tree knowledge, introducing the concept of fuzzy logic, fuzzy membership functions to describe the extent to which these failures, using fuzzy membership functions to describe the extent of these failures, using Levenberg-Marquardt algorithm to train the neural network system, getting a better performance in inference speed and fault-tolerant, and analyzing and verifying the effectiveness of variable amplitude hydraulic system fuzzy neural network fault diagnosis through case.

Key words: fault diagnosis, fault tree, fuzzy neural network