计算机工程与应用Issue(13)：6-9,108,5.DOI:10.3778/j.issn.1002-8331.1311-0042
基于符号有向图与趋势分析的故障诊断框架
Signed directed graph and trend analysis based framework for fault diagnosis
摘要
Abstract
For the problems of the real faults being missed and poor diagnosis resolution in Signed Directed Graph(SDG) based fault diagnosis, a SDG and qualitative trend analysis based framework has been proposed. When faults occur, the qualitative trends are extracted to represent the states of variables. And then inverse inference is carried out to find all the possible faults using consistence rules, which are basing on qualitative trends. The diagnosis resolution can be improved by ranking the results according to Confidence Index(C.I.). The case study proves that the diagnosis resolution is improved and diagnosis completeness is satisfied using the framework. It can be applied in fault diagnosis in chemical process.关键词
符号有向图/定性趋势分析/故障诊断Key words
Signed Directed Graph(SDG)/qualitative trend analysis/fault diagnosis分类
信息技术与安全科学引用本文复制引用
高东,许欣,马昕,张贝克..基于符号有向图与趋势分析的故障诊断框架[J].计算机工程与应用,2014,(13):6-9,108,5.基金项目
中央高校基本科研业务费项目（No.ZY1208）。 （）
