基于模型诊断的发展与展望

Development & Prospect of Model-based Diagnosis

在智能故障诊断领域中,基于模型诊断方法已经成为研究者们主要研究的对象。但是,其计算的难解性、诊断结果的数目的庞大,对实际问题没有统一、寻求适当的模型表示方法是基于模型智能故障诊断必须面临的瓶颈问题。针对国内外专家学者的研究成就和现状,本文对基于模型诊断方面的主要研究成果进行了简要地介绍,对各种方法的优点和不足进行分析,并对进一步的研究提出了一些建议。

In the area of intelligent fault diagnoses, the model-based approach is the main approach adopted. However,researchers still have to face the situation that no approach can be found to completely deal with computational complexity and the huge number of solutions to a diagnostic task of model-based diagnoses as well as no suitable representation within some real-world problems.According to achievements and the present status of research on model-based diagnoses not only is the relatively mature theory of model-based diagnosis approaches simply introduced but also their advantages and disadvantages are analyzed,what is more,some pertinent suggestions are proposed for further researches.