文章基本信息

标题：Observer-based fault diagnosis for trucks belt tensioner
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作者：Donatien Dubuc ; Olivier Sename ; Delphine Bresch-Pietri 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：13848-13853
DOI：10.1016/j.ifacol.2017.08.2226
语种：English
出版社：Elsevier
摘要：AbstractThis paper deals with the monitoring of a serpentine belt tensioner performance, a critical automotive engine component guaranteeing the cooling system efficiency. A belt tensioner fault will affect the transmission, deteriorate the water pump efficiency, and eventually, lead the engine to stall. Monitoring this component is thus a key to design predictive or corrective maintenance. In this paper, we propose to estimate a parameter which is shown to be characteristic of this component’s health by using an Adaptive Observer or an Extended Kalman Filter. Respective merits of these solutions are compared using simulations performed with GT-SUITE on a high-fidelity model.
关键词：KeywordsDiagnosisautomotive systemsmodelingnonlinear observers