Remaining useful life estimation : A review on the statistical data driven approaches

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

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Author(s)

  • Xiao-Sheng Si
  • Wenbin Wang
  • Chang-Hua Hu
  • Dong-Hua Zhou

Detail(s)

Original languageEnglish
Pages (from-to)1-14
Journal / PublicationEuropean Journal of Operational Research
Volume213
Issue number1
Online published24 Nov 2010
Publication statusPublished - 16 Aug 2011

Abstract

Remaining useful life (RUL) is the useful life left on an asset at a particular time of operation. Its estimation is central to condition based maintenance and prognostics and health management. RUL is typically random and unknown, and as such it must be estimated from available sources of information such as the information obtained in condition and health monitoring. The research on how to best estimate the RUL has gained popularity recently due to the rapid advances in condition and health monitoring techniques. However, due to its complicated relationship with observable health information, there is no such best approach which can be used universally to achieve the best estimate. As such this paper reviews the recent modeling developments for estimating the RUL. The review is centred on statistical data driven approaches which rely only on available past observed data and statistical models. The approaches are classified into two broad types of models, that is, models that rely on directly observed state information of the asset, and those do not. We systematically review the models and approaches reported in the literature and finally highlight future research challenges.

Research Area(s)

  • Maintenance, Remaining useful life, Brown motion, Stochastic filtering, Proportional hazards model, Markov, CONDITION-BASED MAINTENANCE, PROPORTIONAL-HAZARDS MODEL, SEMI-MARKOV MODEL, INVERSE GAUSSIAN DISTRIBUTION, DEGRADATION-BASED RELIABILITY, EQUIPMENT HEALTH DIAGNOSIS, OPTIMAL BURN-IN, RESIDUAL-LIFE, ACCELERATED DEGRADATION, THRESHOLD REGRESSION

Citation Format(s)

Remaining useful life estimation : A review on the statistical data driven approaches. / Si, Xiao-Sheng; Wang, Wenbin; Hu, Chang-Hua; Zhou, Dong-Hua.

In: European Journal of Operational Research, Vol. 213, No. 1, 16.08.2011, p. 1-14.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review