Asset Life Prediction Using Multiple Degradation Indicators and Lifetime Data: a Gamma-Based State Space Model Approach

摘要：

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 Gramma-based state space model is more appropriate to deal with the situation when the failure data is insufficient.

关键词： Ezpectation-Mazinuzation algorithm Gamma process Proportional hazard model State space model

作者: Yifan Zhou Lin Ma Joseph Mathcw Hack-Eun Kim Rodney Wolff

作者单位: CRC of Integrated Engineering Asset Management (CIEAM),School of Engineering Systems Queensland Univ School of Mathematical Sciences Queensland University of Technology Brisbane,Australia

会议类型: 国际会议

会议名称: 2009 8th International Conference on Reliability,Maintainability and Safety(第八届中国国际可靠性、维修性、安全性会议)

会议地点: 成都

会议语种:英文

页码: 445-449

在线出版日期: 2009-08-24（万方平台首次上网日期，不代表论文的发表时间）