文章基本信息

标题：Adaptive Prognosis for a Multi-component Dynamical System of Unknown Degradation Modes
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作者：Om Prakash ; Arun K. Samantaray ; Ranjan Bhattacharyya 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2018
卷号：51
期号：24
页码：184-191
DOI：10.1016/j.ifacol.2018.09.576
语种：English
出版社：Elsevier
摘要：AbstractThis article proposes an adaptive remaining useful life (RUL) prediction for a multi-component dynamical system of unknown degradation modes or profiles. Most of the existing approaches assume degradation occurrence in a single component with a single degradation mode for the simplification of RUL prediction. However, in such system, degradation of many components may occur simultaneously and those may show different unknown linear or nonlinear degradation behaviors in their life cycle. Practically, RUL prediction is complicated when the degradation information is unknown a priori and shows nonlinear behaviour. Thus, this article proposes to progressively obtain the degradation estimates of the components through estimation process after their detection and thus multiple degradation models are postulated on-the-fly using the estimates of the degradations. RULs are regularly updated through adaptive degradation models identified by using the concept of sliding window estimation technique. The proposed technique is demonstrated through simulation on a multi-component electrical system. This article also includes the accelerated ageing experimental result which strongly supports the concept of activation of different degradation modes of the component during its life cycle.
关键词：KeywordsMulti-component systemunknown degradation modesparameter estimationadaptive degradation modeladaptive remaining useful life