文章基本信息

标题：Health State Diagnosis and Prognostics based on Hidden Markov Model on ArcelorMittal’s galvanizing line
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作者：Christophe Simon ; Didier Theilliol ; Ahmed Khelassi 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2021
卷号：54
期号：11
页码：61-66
DOI：10.1016/j.ifacol.2021.10.051
语种：English
出版社：Elsevier
摘要：AbstractIn order to optimize the maintenance operations and limit the impact of material wearing on the galvanizing coating quality and defects, this paper proposes a data-driven model to estimate the remaining useful life of a roller system immersed in a galvanizing bath. The proposed model comes from the Hidden Markov Model family and is trained in non-supervised mode. The pros and drawbacks are given, in conclusion, for a possible use in a control loop.
关键词：KeywordsHealth StateDiagnosticPronosticProduction lineGalvanizing lines