模糊神经网络在故障诊断中的模型与应用

Models of Fuzzy Neural Networks and Their Application in Fault Diagnosis

对一种基于模糊神经网络的故障诊断方法进行了研究，探讨了模糊神经网络诊断模型和模糊算子选择。以柴油机示功图作为特征信号，构造了船舶主机故障诊断仿真系统，并给出了系统知识学习和模糊推理结果。

This paper pursues a fuzzy neural networks approach for fault diagnosis and discusses its models and the choice of the fuzzy operators. Using the indicator cards as the characteristic signals of the system, a simulation system is constructed to diagnose the faults of a marine main diesel engine. And the results of knowledge learning and fuzzy reasoning by the system are given.