粒约简算法在SDG故障诊断中的应用
首发时间:2010-03-26
摘要:本文将基于粗糙集的二进制粒矩阵的知识约简算法引入到基于SDG模型的故障诊断中,以离心泵与液位系统为例,用粒语言来描述和表达SDG故障诊断模型中的元素,建立反映故障—征兆因果关系的决策表,进而对冗余属性及属性值进行约简,有效地约简了SDG诊断规则,提高了故障诊断的效率。
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Application of Granular Reduction algorithm in SDG Fault Diagnosis
Abstract:In this paper, RS (rough set)-based Bit Granular Matrix knowledge reduction algorithm is introduced to the SDG model based fault diagnosis. With centrifugal pumps and liquid level system as an example, first, the element of SDG fault diagnosis model is described by granular language, a decision table which reflects the causality of faults and signs is established. Redundant attributes and attribute values are reduced by knowledge discovery algorithm of granular computing. The diagnosis rules of SDG model are reduced by the method which improves the fault diagnosis effectiveness.
Keywords: Fault Diagnosis Signed Directed Graph (SDG) Bit Granular Matrix (BGrM) Knowledge Reduction
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