文章基本信息

标题：Bond Graph for Online Robust Diagnosis Application: hydraulic system
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作者：Ibrahim Abdallah ; Anne-Lise Gehin ; Belkacem Ould Bouamama 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2017
卷号：50
期号：1
页码：13538-13543
DOI：10.1016/j.ifacol.2017.08.2350
语种：English
出版社：Elsevier
摘要：AbstractThis paper concerns the online quantitative Fault Detection and Isolation (FDI) in uncertain systems using the Analytical Redundancy Relations (ARR). It proposes a pure graphical robust diagnosis using Bond Graph (BG) model. The proposed diagnoser directly generates online residuals with dynamical thresholds. The innovative interest is the use of only one tool (BG) for the behavioral modeling and for the FDI without expressing the analytical form of the model nor the thresholds. A hydraulic system is presented for the demonstration.
关键词：KeywordsSupervisionDiagnosisBond GraphLinear Fractional Transformation