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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

喻勇 司小胜 胡昌华 崔忠马 李洪鹏

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. 自动化学报, 2018, 44(2): 216-227. doi: 10.16383/j.aas.2018.c170005
引用本文: 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. 自动化学报, 2018, 44(2): 216-227. doi: 10.16383/j.aas.2018.c170005
YU Yong, SI Xiao-Sheng, HU Chang-Hua, CUI Zhong-Ma, LI Hong-Peng. Data Driven Reliability Assessment and Life-time Prognostics: A Review on Covariate Models. ACTA AUTOMATICA SINICA, 2018, 44(2): 216-227. doi: 10.16383/j.aas.2018.c170005
Citation: YU Yong, SI Xiao-Sheng, HU Chang-Hua, CUI Zhong-Ma, LI Hong-Peng. Data Driven Reliability Assessment and Life-time Prognostics: A Review on Covariate Models. ACTA AUTOMATICA SINICA, 2018, 44(2): 216-227. 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

doi: 10.16383/j.aas.2018.c170005
基金项目: 

国家自然科学基金 61374126

国家自然科学基金 61174030

国家自然科学基金 61473094

国家自然科学基金 61573365

中国科协青年人才托举工程 2016QNRC001

国家自然科学基金 61374120

国家杰出青年基金 61025014

国家自然科学基金 61773386

详细信息
    作者简介:

    喻勇 火箭军工程大学与航天科工二院25所联合培养博士研究生.主要研究方向为预测与健康管理, 可靠性估计, 预测维护和寿命估计.E-mail:yuyongep@163.com

    司小胜 火箭军工程大学讲师.主要研究方向为预测与健康管理, 剩余寿命估计, 可靠性. E-mail: sxs09@mails.tsinghua.edu.cn

    崔忠马 中国航天科工集团第二研究院第二十五研究所研究员.主要研究方向为遥感设备总体设计, 雷达成像处理. E-mail: czmsy@sina.com

    李洪鹏 中国航天科工集团第二研究院第二十五研究所高级工程师.主要研究方向为遥感系统测试装备设计. E-mail: mail_lhp@sina.com

    通讯作者:

    胡昌华  火箭军工程大学控制工程系教授.主要研究方向为故障诊断, 可靠性工程.本文通信作者.E-mail:hch6603@263.net

Data Driven Reliability Assessment and Life-time Prognostics: A Review on Covariate Models

Funds: 

National Natural Science Foundation of China 61374126

National Natural Science Foundation of China 61174030

National Natural Science Foundation of China 61473094

National Natural Science Foundation of China 61573365

and Young Elite Scientists Sponsorship Program of China Association for Science and Technology 2016QNRC001

National Natural Science Foundation of China 61374120

National Science Fund for Distinguished Youth Scholars of China 61025014

National Natural Science Foundation of China 61773386

More Information
    Author Bio:

    Ph. D. candidate in the Department of Automation Technology, Xian Institute of High-Technology and the Institute No.25, the Second Academy of China Aerospace Science and Industry Corporation. His research interest covers prognostics and health management, reliability estimation, predictive maintenance, and lifetime estimation

    Lecture in the Department of Automation Technology, Xian Institute of High-Technology, Xian Institute of High-Technology. His research interest covers prognostics and health management, remaining useful life estimation, reliability and predictive maintenance

    Researcher in Institute No.25, The Second Academy of China Aerospace Science and Industry Corporation. His research interest covers the overall design of remote sensing equipment and radar imaging processing

    Senior engineer in Institute No.25, The Second Academy of China Aerospace Science and Industry Corporation. His research interest covers the design of the remote sensing system testing equipment

    Corresponding author: HU Chang-Hua Professor in the Department of Automation Technology, Xi\begin{document}$'$\end{document}an Institute of High-Technology. His research interest covers fault diagnosis and reliability engineering. Corresponding author of this paper
  • 摘要: 作为保障工业过程可靠性和经济性的重要技术,可靠性评估与寿命预测在过去几十年得到了越来越广泛的关注和长足的发展.在实际应用中,由于难以获取复杂、高可靠性设备失效机理的物理模型,数据驱动的可靠性评估与寿命预测方法成为近年来的主流.同时,自动监测技术和传感器技术的快速发展,使得在工程实践中不仅能够获取系统的退化数据,还能得到大量的系统运行环境监测数据,从而使得数据驱动寿命预测中基于协变量的方法得到了广泛应用.本文根据系统运行环境中协变量数据的不同变化规律,将基于协变量方法的可靠性评估模型分为:固定协变量模型、时变协变量模型和随机协变量模型,并分别讨论了各模型的发展现状.最后,讨论了协变量处理中存在的一些挑战及未来的研究方向.
    1)  本文责任编委 文成林
  • 图  1  基于协变量方法的分类

    Fig.  1  Classification of Covariate Models

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  • 收稿日期:  2017-01-04
  • 录用日期:  2017-06-12
  • 刊出日期:  2018-02-20

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