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A review on degradation models in reliability analysis

Gorjian, Nima, Ma, Lin, Mittinty, Murthy, Yarlagadda, Prasad, & Sun, Yong (2009) A review on degradation models in reliability analysis. In Proceedings of the 4th World Congress on Engineering Asset Management, 28-30 September 2009, Marriott Athens Ledra Hotel, Athens. (In Press)

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Abstract

With increasingly complex engineering assets and tight economic requirements, asset reliability becomes more crucial in Engineering Asset Management (EAM). Improving the reliability of systems has always been a major aim of EAM. Reliability assessment using degradation data has become a significant approach to evaluate the reliability and safety of critical systems. Degradation data often provide more information than failure time data for assessing reliability and predicting the remnant life of systems. In general, degradation is the reduction in performance, reliability, and life span of assets. Many failure mechanisms can be traced to an underlying degradation process. Degradation phenomenon is a kind of stochastic process; therefore, it could be modelled in several approaches. Degradation modelling techniques have generated a great amount of research in reliability field. While degradation models play a significant role in reliability analysis, there are few review papers on that. This paper presents a review of the existing literature on commonly used degradation models in reliability analysis. The current research and developments in degradation models are reviewed and summarised in this paper. This study synthesises these models and classifies them in certain groups. Additionally, it attempts to identify the merits, limitations, and applications of each model. It provides potential applications of these degradation models in asset health and reliability prediction.

Impact and interest:

2 citations in Scopus
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ID Code: 27913
Item Type: Conference Paper
Additional URLs:
Keywords: Degradation model, Reliability analysis, Asset health, Life prediction
Subjects: Australian and New Zealand Standard Research Classification > BUILT ENVIRONMENT AND DESIGN (120000) > OTHER BUILT ENVIRONMENT AND DESIGN (129900)
Divisions: Current > Research Centres > CRC Integrated Engineering Asset Management (CIEAM)
Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Past > QUT Faculties & Divisions > Faculty of Science and Technology
Past > Schools > Mathematical Sciences
Past > Schools > School of Engineering Systems
Copyright Owner: Copyright 2009 Springer
Copyright Statement: The original publication is available at www.springerlink.com
Deposited On: 13 Oct 2009 10:53
Last Modified: 29 Feb 2012 23:55

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