Synthetic Intelligent Fault Diagnosis Technologty for Complex Process |
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作者姓名: | 刘晓颖 GuiWeihua 等 |
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作者单位: | CollegeofInformationScience&Engineering,CentralSouthUniversity,Changsha410083,P.R.China |
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摘 要: | A fault diagnosis method of knowledge-based fuzzy neural network is proposed for complkex process,which is hard to develop practical mathematical model.Fault detection is performed through a jknowledge-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.
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关 键 词: | 复杂过程 合成智能错误诊断 模糊神经网络 |
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