文章基本信息

标题：Fusion of Model-based and Data-based Fault Diagnosis Approaches
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作者：A. Slimani ; P. Ribot ; E. Chanthery 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2018
卷号：51
期号：24
页码：1205-1211
DOI：10.1016/j.ifacol.2018.09.698
语种：English
出版社：Elsevier
摘要：AbstractThis paper presents a generic approach that combines model-based and data-based methods for fault detection and diagnosis. A proposed generic representation framework is used to express the different diagnosis results and to merge them without taking into account neither their internal characteristics, nor the nature of their outputs. Within this framework, the generic approach is performed in two steps. The first step consists in operating several diagnosis methods using the system measurements. The second step deals with the fusion of various methods results. This diagnosis approach is evaluated and tested on an anti-lock braking system. Simulations show that methods combination and results fusion make our diagnosis approach more efficient.
关键词：KeywordsModel-based diagnosisdata-based diagnosisparallel combinationfusion strategy