基于粗糙集理论的系统参数重要性评价及其应用
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摘要
将粗糙集理论引入到系统参数重要性的评价中,利用粗糙集中的下近似和上近似概念定义参数αR(X),并根据此参数的大小判断系统参数的重要性.与传统的评价系统参数重要性的方法相比,该方法能得到关于系统本身的更多信息.将此方法应用于内燃机柱塞的故障分析,得到了与实际运行情况完全相符的结果,从而证明了该方法的有效性.
The rough sets theory was introduced into evaluating the significance of system parameters. A parameter α_(R)(X) defined with the concepts of lower and upper approximation in rough sets theory was used to estimate the significance of system parameters. More system information can be obtained by this method comparing with the other methods, such as K-W method and method based on information entropy. The proposed method was applied in fault analysis of diesel engine's plunger and the result matches the practical situation, so the validity of this method was proved.
The rough sets theory was introduced into evaluating the significance of system parameters. A parameter α_(R)(X) defined with the concepts of lower and upper approximation in rough sets theory was used to estimate the significance of system parameters. More system information can be obtained by this method comparing with the other methods, such as K-W method and method based on information entropy. The proposed method was applied in fault analysis of diesel engine's plunger and the result matches the practical situation, so the validity of this method was proved.
引文
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[5] 吕仲军,朱信群.基于神经网络分析的柴油机燃油喷射系统的故障诊断研究[J].车用发动机,1999,12(4):53～55.
[2] 韩祯祥,张 琦,文福栓.粗糙集理论及其应用[J].信息与控制,1998,27(1):37～45.
[3] 张文修,吴伟志.粗糙集理论介绍和研究综述[J].模糊系统与数学,2000,14(4):1～12.
[4] PawlakZ.Roughsets—theoreticalaspectsofreasoningaboutdata[M].Dordrecht/Boston/London:KluwerAcademicPublishers,1991.
[5] 吕仲军,朱信群.基于神经网络分析的柴油机燃油喷射系统的故障诊断研究[J].车用发动机,1999,12(4):53～55.
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