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A Prognostics and Health Management Based Method for Refurbishment Decision Making for Electromechanical Systems
Wang K(王锴); Tian, Jing; Pecht, Michael; Xu AD(徐皑冬)
作者部门工业控制网络与系统研究室
会议名称2015 15th IFAC Symposium on Information Control Problems in Manufacturing — INCOM 2015
会议日期May 11-13, 2015
会议地点Ottawa, Canada
会议录名称2015 15th IFAC Symposium on Information Control Problems in Manufacturing — INCOM 2015
出版者IFAC
出版地Laxenburg, AUSTRIA
2015
页码454–459
收录类别EI ; CPCI(ISTP)
EI收录号20162002381175
WOS记录号WOS:000375804100077
产权排序1
ISSN号2405-8963
关键词Electromechanical System Life Extension Prognostics And Health Management Refurbishment
摘要Refurbishing end of life electromechanical products is a value-added operation that provides both economic and environmental benefits. To maximize the benefits from refurbishing, decision making is critical, where the optimized time and the right component for manufacturing are determined. However, there has not been any satisfactory refurbishing decision-making strategy developed. In this paper, a prognostics and health management-based method is developed for refurbishment decision making. First, components are selected for in-situ monitoring using failure modes, mechanisms and effects analysis, then the remaining useful life for the system is estimated by analyzing the in-situ monitoring data so that the optimized refurbishing time can be determined. Finally, near the end of the system life, certain degraded components are selected via diagnosis, and refurbishment is carried out. The procedure of the method is evaluated by an analysis of the refurbishment of instruments in industrial process control. Using this method, the remaining useful life of electromechanical products can be optimally used, and the cost of refurbishment can be minimized.
语种英语
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被引频次:3[WOS]   [WOS记录]     [WOS相关记录]
文献类型会议论文
条目标识符http://ir.sia.cn/handle/173321/17413
专题工业控制网络与系统研究室
作者单位1.Lab. of Networked Control Systems, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, Liaoning, 110016, China
2.Center for Advanced Life Cycle Engineering (CALCE), University of Maryland, College Park, MD, 20742, United States
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Wang K,Tian, Jing,Pecht, Michael,et al. A Prognostics and Health Management Based Method for Refurbishment Decision Making for Electromechanical Systems[C]. Laxenburg, AUSTRIA:IFAC,2015:454–459.
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