Asset life prediction using multiple degradation indicators and lifetime data: a gamma-based state space model approach
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Description
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.
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| ID Code: | 20903 | ||
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| Item Type: | Chapter in Book, Report or Conference volume (Conference contribution) | ||
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| Measurements or Duration: | 5 pages | ||
| ISBN: | 978-1-4244-4905-7 | ||
| Pure ID: | 31874080 | ||
| Divisions: | Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering Past > Schools > School of Engineering Systems Past > QUT Faculties & Divisions > Faculty of Science and Technology Past > QUT Faculties & Divisions > Science & Engineering Faculty Current > Research Centres > Australian Research Centre for Aerospace Automation Past > Research Centres > CRC Integrated Engineering Asset Management (CIEAM) |
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| Copyright Owner: | Copyright 2009 [please consult the authors] | ||
| Copyright Statement: | This work is covered by copyright. Unless the document is being made available under a Creative Commons Licence, you must assume that re-use is limited to personal use and that permission from the copyright owner must be obtained for all other uses. If the document is available under a Creative Commons License (or other specified license) then refer to the Licence for details of permitted re-use. It is a condition of access that users recognise and abide by the legal requirements associated with these rights. If you believe that this work infringes copyright please provide details by email to qut.copyright@qut.edu.au | ||
| Deposited On: | 03 Jun 2009 05:23 | ||
| Last Modified: | 04 Mar 2024 13:49 |
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