A Fusion Prognostics Framework Based on FMMEA and Bayesian Theory

摘要：

Prognostics approaches can assess system reliability in its actual life-cycle conditions, provide advance warning of failure, and reduce system maintenance cost. In all prognostics approaches, identification of appropriate monitored parameters, which can be employed to predict imminent failure, is critical. However traditional approaches, data-driven prognostics and model-based prognostics have their limitations. This paper proposes a fusion prognostics framework, which identifies the appropriate parameters monitored by failure modes, mechanisms and effects analysis (FMMEA), and predicts system remaining useful life by data-driven prognostics based on Bayesian theory. The fusion prognostics framework leverage the strength from both approaches to provide better predictions of remain useful life.

关键词： prognostics FMMEA Bayesian theory

作者: Yong Jian Tao

作者单位: East China Jiaotong University, Nanchang 330013, China

会议类型: 国际会议

会议名称: 2012 International Conference on Advanced Materials Design and Machanics(2012先进材料设计与机械学国际会议 ICAMDM 2012)

会议地点: 厦门

会议语种:英文

页码: 703-706

在线出版日期: 2012-06-05（万方平台首次上网日期，不代表论文的发表时间）