Research on Fault Diagnosis Method Based on Rule Base Neural Network

Research on Fault Diagnosis Method Based on Rule Base Neural Network

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by Zheng Ni , Zhang Lin , Wang Wenfeng , Zhang Bo , Liu Yongjin , Zhang Dajiang

BibTeX

@MISC{Ni_researchon,
    author = {Zheng Ni and Zhang Lin and Wang Wenfeng and Zhang Bo and Liu Yongjin and Zhang Dajiang},
    title = {Research on Fault Diagnosis Method Based on Rule Base Neural Network},
    year = {}
}

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Abstract

The relationship between fault phenomenon and fault cause is always nonlinear, which influences the accuracy of fault location. And neural network is effective in dealing with nonlinear problem. In order to improve the efficiency of uncertain fault diagnosis based on neural network, a neural network fault diagnosis method based on rule base is put forward. At first, the structure of BP neural network is built and the learning rule is given. Then, the rule base is built by fuzzy theory. An improved fuzzy neural construction model is designed, in which the calculated methods of node function and membership function are also given. Simulation results confirm the effectiveness of this method.