自动化学报2018，Vol.44Issue(2)：216-227,12.DOI:10.16383/j.aas.2018.c170005
数据驱动的可靠性评估与寿命预测研究进展:基于协变量的方法
Data Driven Reliability Assessment and Life-time Prognostics:A Review on Covariate Models
摘要
Abstract
Reliability assessment and life-time prognostics have been widely concerned and developed fast in the past decades for their importance in industrial processes.Data driven approaches have been popular due to the complexity of failure mechanism about the reliable complex system.With the development of auto-monitoring and sensor technology,it is easy to obtain degradation data and environment information.A large number of methods based on hazard models with covariates have emerged.In this paper we review the state-of-the-art covariate models in the literature.We classify the approaches into three broad types of models,that is,constant models,time-dependent models and stochastic models.We systematically discuss these models and approaches and finally highlight future research challenges.关键词
寿命预测/数据驱动/可靠性/协变量Key words
Life-time prognostics/data driven/reliability/covariate引用本文复制引用
喻勇,司小胜,胡昌华,崔忠马,李洪鹏..数据驱动的可靠性评估与寿命预测研究进展:基于协变量的方法[J].自动化学报,2018,44(2):216-227,12.基金项目
国家自然科学基金(61174030,61374120,61374126,61473094,61573365,61773386),国家杰出青年基金(61025014),中国科协青年人才托举工程(2016QNRC001)资助 Supported by National Natural Science Foundation of China (61174030,61374120,61374126,61473094,61573365,61773386),National Science Fund for Distinguished Youth Scholars of China (61025014),and Young Elite Scientists Sponsorship Program of China Association for Science and Technology (2016QNRC001) （61174030,61374120,61374126,61473094,61573365,61773386）
