基于模型的故障诊断中的模糊建模和推理

Fuzzy Modeling and Inference in Model Based Fault Diagnosis

分析了基于模型的故障诊断方法的原理和特点以及其他故障诊断方法（基于规则、基于人工神经网、基于案例）的局限性．针对基于模型的故障诊断，提出了运用人工神经网和遗传算法的模糊建模方法，简化了建模复杂性．给出了基于模糊模型的故障诊断推理方法。

The principle and characteristics of model based fault diagnosis, and the limitations of other fault diagnosis approaches (rule based, based on artificial neural network, case based) were analyzed. For the model based fault diagnosis, fuzzy modeling approaches using neural network and genetic algorithm were presented, which simplifies the complexity of modeling. Reasoning algorithms of fault diagnosis based on fuzzy models were given so that the fault diagnosis of complicated systems can be effectively dealt with.