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Synthetic Intelligent Fault Diagnosis Technology for Complex Process 被引量:1

Synthetic Intelligent Fault Diagnosis Technology for Complex Process
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摘要 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. 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.
出处 《High Technology Letters》 EI CAS 2002年第2期72-75,共4页 高技术通讯(英文版)
基金 theHighTechnologyResearchandDevelopmentProgramofChina
关键词 fault detection fault diagnosis knowledge based system fuzzy neural network 复杂过程 合成智能错误诊断 模糊神经网络
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