文章基本信息

标题：Bootstrap Confidence Interval on IOHMM Parameters for System Health Diagnostic Under Multiple Operating Conditions
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作者：Kamrul Islam Shahin ; Christophe Simon ; Philippe Weber 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2020
卷号：53
期号：2
页码：10297-10303
DOI：10.1016/j.ifacol.2020.12.2764
语种：English
出版社：Elsevier
摘要：AbstractThe operating conditions have an important impact on system degradation. This paper uses the Input-Output Hidden Markov Model to represent the system degradation having multiple operating conditions. In this paper the bootstrap method is applied to estimate the model parameters and to diagnostic the system health. Parameters of the model are computed with 95% confidence intervals. The uncertainty about multiple data sequences and degradation speed is handled according to the operating conditions. A numerical application is given to explain the methodologies used to estimate the model parameters and diagnostic the system health.
关键词：KeywordsSystem healthPHMInput Output Hidden Markov ModelCondition based diagnosticDegradation designCondition monitoring