基于模糊逻辑与遗传算法的故障诊断方法研究

Research on Fault Diagnosis Based on Genetic Algorithms and Fuzzy Logic

探讨了模糊逻辑与遗传算法相互结合与集成的方法,从以下三个方面对两者的结合在故障诊断中的应用进行了研究:首先是用模糊逻辑理论对系统进行描述;然后用遗传算法对可能的故障传播路径进行搜索;最后是实现了模糊逻辑与遗传算法相结合的故障诊断。

Means of the bidirectional integration of genetic algorithms （GA） and fuzzy logic（FL） is analyzed, and the applications of this integration on fault diagnosis are researched in three aspects. First, the system is described using fuzzy logic theory. Secondly, the possible fault transportation routes are searched using genetic algorithms. Finally, the fault diagnosis was carried out by using the integration of genetic algorithms （GA） and fuzzy logic （FL）.