Title :
Reliability prediction based on degradation modeling for systems with multiple degradation measures
Author :
Wang, Peng ; Coit, David W.
Author_Institution :
UTC Fuel Cells, South Windsor, CT, USA
Abstract :
This paper describes a general modeling and analysis approach for reliability prediction based on degradation modeling, considering multiple degradation measures. Previous research has been focusing on reliability prediction based on degradation modeling at the component failure mechanism level. In reality, a system may consist of multiple components or a component may have multiple degradation paths, so it is necessary to simultaneously consider multiple degradation measures. Also, many research efforts on degradation analysis were initiated by making assumptions about the degradation mechanism. In reality often there is very limited understanding about the degradation mechanism. When the observed degradation data is collected, it is often not known which degradation model is applicable. In this paper, a general analysis procedure is developed. Simulated data were used to illustrate the applicability of this approach. It was verified that, when the multiple degradation measures in a system are correlated, an incorrect independence assumption might underestimate the system reliability.
Keywords :
failure analysis; reliability theory; correlated degradation paths; degradation modeling; multiple degradation measures; reliability prediction; system reliability; Data analysis; Degradation; Failure analysis; Fuel cells; Hazards; Power system modeling; Predictive models; Reliability; Stress; Time measurement;
Conference_Titel :
Reliability and Maintainability, 2004 Annual Symposium - RAMS
Print_ISBN :
0-7803-8215-3
DOI :
10.1109/RAMS.2004.1285465