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本文简述了故障诊断技术的发展过程.分析了神经网络诊断模型和专家系统诊断模型各自的优缺点.论述了两种模型相结合的方法及其优越性,给出了神经网络的算法.并介绍一个以发动机为对象的故障诊断系统及其仿真结果。
In this paper, the development of fault diagnosis technology is briefly described, and the advantages and disadvantages of each of the neural network diagnosis model and the expert system diagnosis model are analyzed. The method combining the two models and their advantages are discussed, and the algorithm of the neural network is given. An engine fault diagnosis system and its simulation results are introduced.