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A review on degradation models in reliability analysis

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Engineering Asset Lifecycle Management

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.

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Author information

Authors and Affiliations

  1. Cooperative Research Centre for Integrated Engineering Asset Management (CIEAM), Brisbane, QLD, Australia

    Nima Gorjian, Lin Ma & Yong Sun

  2. School of Engineering Systems, Queensland University of Technology (QUT), Brisbane, QLD, Australia

    Nima Gorjian, Lin Ma, Prasad Yarlagadda & Yong Sun

  3. School of Mathematical Sciences, Queensland University of Technology (QUT), Brisbane, QLD, Australia

    Murthy Mittinty

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  1. Nima Gorjian
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  2. Lin Ma
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  3. Murthy Mittinty
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  4. Prasad Yarlagadda
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  5. Yong Sun
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Editor information

Editors and Affiliations

  1. Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland

    Dimitris Kiritsis

  2. C.E.T.I/R.C. Athena, Athens, Greece

    Christos Emmanouilidis

  3. CIEAM, University of South Australia, Adelaide, Australia

    Andy Koronios

  4. CRC for Integrated Engineering Asset Management (CIEAM), Australia

    Joseph Mathew

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Gorjian, N., Ma, L., Mittinty, M., Yarlagadda, P., Sun, Y. (2010). A review on degradation models in reliability analysis. In: Kiritsis, D., Emmanouilidis, C., Koronios, A., Mathew, J. (eds) Engineering Asset Lifecycle Management. Springer, London. https://doi.org/10.1007/978-0-85729-320-6_42

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  • DOI: https://doi.org/10.1007/978-0-85729-320-6_42

  • Publisher Name: Springer, London

  • Print ISBN: 978-0-85729-321-3

  • Online ISBN: 978-0-85729-320-6

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