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)
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:
Citation countsare sourced monthly fromand citation databases.
These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.
Citations counts from theindexing service can be viewed at the linked Google Scholar™ search.
Full-text downloadsdisplays the total number of times this work’s files (e.g., a PDF) have been downloaded from QUT ePrints as well as the number of downloads in the previous 365 days. The count includes downloads for all files if a work has more than one.
|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|
Repository Staff Only: item control page