RETRACTED: A Review on Modeling and Analysis of Accelerated Degradation Data for Reliability Assessment

Abstract

Abstract Accelerated degradation testing (ADT) has been recognized as an essential and effective approach for the reliability assessment of high reliability long-lifetime products, and can provide various health management strategies to ensure the safe and economical operation of deteriorating products. Studies on how to best assess such reliability have recently gained popularity owing to the rapid advances in accelerated degradation data monitoring techniques. However, because of its complicated relationship with observable degradation information, there have been no systematic reviews focused particularly on reliability assessment based on accelerated degradation data. As such, this paper reviews recent developments in the modeling and analysis of accelerated degradation data for reliability assessment. After a brief introduction of the fundamentals of ADT, this paper concentrates on a review of the reliability modeling and statistical analysis of ADT technology from four aspects, namely performance degradation modeling, acceleration modeling, identification of the consistency in failure mechanism and the model parameter estimation. We systematically review the models and approaches reported in the latest literature, and finally highlight future research challenges and possible development trends.