文章基本信息

标题：Co-Design of Embeddable Diagnostics using Reduced-Order Models * * The paper has been supported by SFI grants 12/RC/2289 and 13/RC/2094
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作者：Gregory Provan
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：12222-12229
DOI：10.1016/j.ifacol.2017.08.2122
语种：English
出版社：Elsevier
摘要：AbstractWe develop a system for generating embedded diagnostics from an ODE model that can isolate faults given the memory and processing limitations of the embedded processor. This system trades off diagnosis isolation accuracy for inference time and/or memory in a principled manner. We use a Polynomial Regression approach for tuning the performance of an ensemble of low-fidelity ODE diagnosis models such that we achieve the target of embedded processing limits. We demonstrate our approach on a non-linear tank benchmark system.
关键词：KeywordsFault DetectionSupervisionSafety of Technical Process: AI methods for FDIDesign of fault tolerant/reliable systemsComputational methods for FDI