A Copula-based Sampling Method for Data-driven prognostics and health management

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Authors
Xi, Zhimin
Jing, Rong
Wang, Pingfeng
Hu, Chao
Issue Date
2014
Type
Conference paper
Language
en_US
Keywords
Prognostics and health management , Data-driven , Remaining useful life , Copula
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Abstract

This paper develops a Copula-based sampling method for data-driven prognostics and health management (PHM). The principal idea is to first build statistical relationship between failure time and the time realizations at specified degradation levels on the basis of off-line training data sets, then identify possible failure times for on-line testing units based on the constructed statistical model and available on-line testing data. Specifically, three technical components are proposed to implement the methodology. First of all, a generic health index system is proposed to represent the health degradation of engineering systems. Next, a Copula-based modeling is proposed to build statistical relationship between failure time and the time realizations at specified degradation levels. Finally, a sampling approach is proposed to estimate the failure time and remaining useful life (RUL) of on-line testing units. Two case studies, including a bearing system in electric cooling fans and a 2008 IEEE PHM challenge problem, are employed to demonstrate the effectiveness of the proposed methodology.

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Xi, Zhimin; Jing, Rong; Wang, Pingfeng; Hu, Chao. 2014. A Copula-based Sampling Method for Data-driven prognostics and health management. ASME 2013 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, Volume 3A: 39th Design Automation Conference Portland, Oregon, USA, August 4–7, 2013
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American Society of Mechanical Engineers
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