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本文提出并系统地论述了基于行为的智能化故障诊断(Behavior-based intelligent Fault Di-agnosis,BFD)方法.给出了BFD的总体实施方案.BFD克服了传统的基于知识和基于神经网络的智能化故障诊断在实用中存在的难以自适应设备行为的变化、不能实现自动诊断等困难.使得故障诊断系统具备了从与实际设备行为的交互作用中自动提高自身诊断水平的智力进化能力.
This paper presents and systematically discusses the Behavior-based Intelligent Fault Di-agnosis (BFD) method and gives the overall implementation plan of BFD.BFD overcomes the traditional knowledge-based and neural network-based intelligence In practical applications, fault diagnosis is difficult to adaptively change the behavior of equipment and can not realize such problems as automatic diagnosis, which makes the fault diagnosis system possess the intellectual evolutionary ability to automatically improve its diagnostic level from the interaction with the actual equipment behavior.