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Synthetic Intelligent Fault Diagnosis Technology for Complex Process
Authors:Gui Weihua  Wu Min
Abstract:A fault diagnosis method of knowledge-based fuzzy neural network is proposed for complex process, which is hard to develop practical mathematical model. Fault detection is performed through a knowledge-based system, where fault detection heuristic rules have been generated from deep and shallow knowledge of the process. The fuzzy neural network performs the fault diagnosis task. This method does not need practical mathematical models of objects, so it is a strong implement for complex process.
Keywords:fault detection  fault diagnosis  knowledge-based system  fuzzy neural network
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