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Asset life prediction using multiple degradation indicators and lifetime data : a Gamma-based state space model approach

Zhou, Yifan, Ma, Lin, Wolff, Rodney C., & Kim, Hack-Eun (2009) Asset life prediction using multiple degradation indicators and lifetime data : a Gamma-based state space model approach. In The 8th International Conference on Reliability, Maintainability and Safety, 20-24 July 2009, Chengdu, China. (In Press)

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Abstract

This paper proposes a Gamma-based state space model to predict engineering asset life when multiple degradation indicators are involved and the failure threshold on these indicators are uncertain. Monte Carlo-based parameter estimation and model inference algorithms are developed to deal with the proposed Gamma-based state space model. A case study using real data from industry is conducted to compare the performance of the proposed model with the commonly used proportional hazard model (PHM). The result shows that the Gamma-based state space model is more appropriate to deal with the situation when the failure data is insufficient.

Impact and interest:

2 citations in Scopus
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0 citations in Web of Science®

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Full-text downloads:

429 since deposited on 03 Jun 2009
98 in the past twelve months

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ID Code: 20903
Item Type: Conference Paper
Keywords: Expectation-Maximization algorithm, Gamma process, Proportional hazard model, State space model
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 [please consult the authors]
Deposited On: 03 Jun 2009 15:23
Last Modified: 29 Feb 2012 23:54

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