A copula-based sampling method for data-driven prognostics and health management

Zhimin Xi, Rong Jing, Pingfeng Wang, Chao Hu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish (US)
Title of host publicationPHM 2013 - 2013 IEEE International Conference on Prognostics and Health Management, Conference Proceedings
DOIs
StatePublished - Dec 6 2013
Externally publishedYes
Event2013 IEEE International Conference on Prognostics and Health Management, PHM 2013 - Gaithersburg, MD, United States
Duration: Jun 24 2013Jun 27 2013

Publication series

NamePHM 2013 - 2013 IEEE International Conference on Prognostics and Health Management, Conference Proceedings

Other

Other2013 IEEE International Conference on Prognostics and Health Management, PHM 2013
CountryUnited States
CityGaithersburg, MD
Period6/24/136/27/13

Keywords

  • Copula
  • Data-driven
  • Prognostics and health management
  • Remaining useful life

ASJC Scopus subject areas

  • Health Informatics
  • Health Information Management

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  • Cite this

    Xi, Z., Jing, R., Wang, P., & Hu, C. (2013). A copula-based sampling method for data-driven prognostics and health management. In PHM 2013 - 2013 IEEE International Conference on Prognostics and Health Management, Conference Proceedings [6621450] (PHM 2013 - 2013 IEEE International Conference on Prognostics and Health Management, Conference Proceedings). https://doi.org/10.1109/ICPHM.2013.6621450