C.-C. Yu, T.-M. Lin, and T.-C. Tang (Taiwan)
The paper designs a new type of neural network model based on the attribute of a complex electric equipment fault diagnosis system according to a few fault of a typical equipment. We discussed the probability and accuracy of the method while using the model to simulate the system faults. The results indicate the validity and rationality of the method. It improves the accuracy of using the model to exclude fault diagnosis comparing to traditional methods. Work experience and expert knowledge are used sufficiently, which has great engineering application value in fault diagnosis area.
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