Title :
Field reliability prediction based on degradation data and environmental data
Author :
Liu Zhenyu ; Ma Xiaobing ; Zhao Yu
Author_Institution :
Sch. of Reliability & Syst. Eng., Beihang Univ., Beijing, China
Abstract :
This paper outlines a method that can be used for field reliability prediction using degradation data and environmental data. From different perspectives about the effects of dynamic environment on field reliability, we proposed two methods to relate the environmental variables to degradation process. The modeling technique and estimation method are illustrated by an example to predict the field failure time distribution of a product. The result of this study shows that it is possible to predict field performance by using ADT results, if done carefully and with good characterization of field environmental conditions.
Keywords :
estimation theory; failure analysis; life testing; reliability theory; ADT results; degradation data; degradation process; dynamic environment; environmental data; environmental variables; field environmental conditions; field failure time distribution; field performance; field reliability prediction; modeling estimation method; modeling technique; Data models; Degradation; Equations; Hazards; Mathematical model; Reliability; Stress; Wiener process; accelerated degradation test; degradation modeling; reliability;
Conference_Titel :
Reliability and Maintainability Symposium (RAMS), 2013 Proceedings - Annual
Conference_Location :
Orlando, FL
Print_ISBN :
978-1-4673-4709-9
DOI :
10.1109/RAMS.2013.6517755