A NEW PERSPECTIVE ON ELECTRONIC PRODUCT RELIABILITY AND FUSION-BASED HEALTH ASSESSMENT AND PROGNOSTICS
Physics-of-failure is an approach that utilizes knowledge of a products life cycle loading and failure mechanisms to perform design for reliability and reliability assessment. Physics-of-failure based prognostics integrates sensor data with models that enable in-situ assessment of the deviation or degradation of a product from an expected normal operating condition (i.e., the products health) and the prediction of the future state of reliability. Fusion-based prognostics incorporate data-driven prognostics with physics-of-failure approaches. In this paper, a fusion-based implementation procedure, which includes failure modes, mechanisms, and effects analysis, data reduction and feature extraction from the life cycle loads, damage accumulation, prognostics and assessment of uncertainty, is presented.
Electronics Physics-of-failure Prognostics Reliability Prediction
Jie Gu Huiguo Zhang Shunong Zhang Rui Kang Michael Pecht
Center for Advanced Life Cycle Engineering, University of Maryland, College Park, MD 20742, USA Department of Project Systems Engineering, Beijing University of Aeronautics and Astronautics, Beiji
国际会议
北京
英文
561-571
2008-10-27（万方平台首次上网日期，不代表论文的发表时间）