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

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 informati...

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Bibliographic Details
Published in:	European journal of operational research Vol. 213; no. 1; pp. 1 - 14
Main Authors:	Si, Xiao-Sheng, Wang, Wenbin, Hu, Chang-Hua, Zhou, Dong-Hua
Format:	Journal Article
Language:	English
Published:	Amsterdam Elsevier B.V 16.08.2011 Elsevier Elsevier Sequoia S.A
Series:	European Journal of Operational Research
Subjects:	Applied sciences Brown motion Distribution theory Estimates Estimating Estimating techniques Exact sciences and technology Health Industrial metrology. Testing Information Linear inference, regression Maintenance Maintenance Remaining useful life Brown motion Stochastic filtering Proportional hazards model Markov Markov Mathematical models Mathematics Mechanical engineering. Machine design Operational research Operations research Probability and statistics Proportional hazards model Remaining useful life Sciences and techniques of general use Statistical analysis Statistical methods Statistics Stochastic filtering Studies Useful life Maintenance Stochastic filtering Remaining useful life Markov Brown motion Proportional hazards model Markov process Probabilistic approach Statistical distribution Health Durability Data driven modelling Modeling Cox model Information source Filtering theory System identification Monitoring
ISSN:	0377-2217, 1872-6860
Online Access:	Get full text
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