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- W2377303070 abstract "In this paper, an artificial neural network (ANN) is integrated with fuzzy system for fault diagnosis. ANN detects the loop faults sources through the partial data measured, and outputs the fault degrees of corresponding loops. Fuzzy system detects the element faults through the preliminary diagnosis results obtained by ANN connected with other correlative values measured, and interprets the final results. The fault diagnosis system(FDS) combines the adaptive learning diagnosis procedure of the ANN and the transparent knowledge representation of the fuzzy system, and simplifies the process of obtaining the ANN's learning sample and establishment the fuzzy inference rules. Through the fault diagnosis simulation of a hot nitric acid cooling system, it has been proven that the fault diagnosis method is very valid." @default.
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- W2377303070 date "2004-01-01" @default.
- W2377303070 modified "2023-09-23" @default.
- W2377303070 title "Neural Network and Fuzzy System Applications to Fault Diagnosis" @default.
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