文章基本信息

标题：Quantitative isolability analysis of different fault modes
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作者：Daniel Jung ; Daniel Jung ; Erik Frisk 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2015
卷号：48
期号：21
页码：1275-1282
DOI：10.1016/j.ifacol.2015.09.701
语种：English
出版社：Elsevier
摘要：Abstract To be able to evaluate quantitative fault diagnosability performance in model-based diagnosis is useful during the design of a diagnosis system. Different fault realizations are more or less likely to occur and the fault diagnosis problem is complicated by model uncertainties and noise. Thus, it is not obvious how to evaluate performance when all of this information is taken into consideration. Four candidates for quantifying fault diagnosability performance between fault modes are discussed. The proposed measure is called expected distinguishability and is based of the previous distinguishability measure and two methods to compute expected distinguishability are presented.
关键词：KeywordsFault detection and isolationquantitative diagnosability analysisKullback-Leibler divergence