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提出一种基于模糊系统（ＦＳ）与神经网络（ＮＮ）融合的系统故障诊断方法。此法把模糊系统与神经网络融合在一起，通过神经网络的学习来生成和调整模糊系统的隶属函数，充分发挥各自优点，更有效地对系统出现的故障进行诊断。对系统进行了仿真，并得出了比较满意的结果。
A system fault diagnosis method based on the fusion of fuzzy system (FS) and neural network (NN) is proposed. This method combines fuzzy system and neural network, and generates and adjusts the membership function of fuzzy system through the learning of neural network, giving full play to their respective advantages and diagnosing the system failure more effectively. The system was simulated and the results were satisfactory.