粒计算在含有不可测节点SDG诊断模型中的应用
首发时间:2009-08-12
摘要:将粒计算理论引入SDG故障诊断技术领域,为基于SDG定性模型的故障诊断方法提供了新的解决思路。本文以粒计算的基本理论为基础,提出了用于化简SDG模型的粒矩阵约简算法,用基于粒矩阵的知识算法约简SDG模型故障决策表,从而把属性约简转化为二进制粒矩阵的计算。本研究开拓了粒计算这一新兴智能计算方法在故障诊断领域的研究及应用范围。
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Application of the SDG diagnostic model Containing unpredictable node Based on Granular Computing
Abstract:The introduction of the theory of granular computing in SDG fault diagnosis technology, providing a new solution for qualitative model fault diagnosis method.In this paper, authors developed granular matrix reduction algorithm for the SDG model simplification based on granular computing, using granular matrix reduction algorithm to simplificate SDG fault decision table, in order to transform the attribute reduction into the relevent computation of the binary granular matrix.This research developed the research and the application scope in the fault diagnosis domain with emerging intelligence computational method—granular computing.
Keywords: Granular Computing Granular Matrix Signed Directed Graph Attribute Reduction
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