Prognostics and Health Monitoring of Electronic System: A Review

被引:0
|
作者
Prisacaru, Alexandru [1 ]
Gromala, Przemyslaw Jakub [1 ]
Jeronimo, Mateus Bagetti [1 ]
Han, Bongtae [2 ]
Zhang, Guo Qi [3 ]
机构
[1] Robert Bosch GmbH, Reliabil Modeling & Syst Optimizat AE EDT3, D-72703 Reutlingen, Germany
[2] Univ Maryland, Mech Engn Dept, College Pk, MD 20742 USA
[3] Delft Univ Technol, Microelect Dept, NL-2600 Delft, Netherlands
关键词
D O I
暂无
中图分类号
O414.1 [热力学];
学科分类号
摘要
Miniaturization of electronics, reduction of time to market and new functionalities in the current context of autonomous driving, electrification and connectivity, are bringing new reliability challenges. Prognostics and Health Management (PHM) can be used effectively to address some of the key challenges, in particular new challenges associated with the transfer of consumer electronics to automotive industry. The concept of PHM is not new, but its application to electronic systems is relatively new. It is expected that the PHM demand for electronic systems would continuously increase as autonomous driving is being realized. This paper attempts to summarize the recent studies in the system-level PHM of electronic systems. Condition monitoring (CM) techniques and prognostics methods used for the PHM of electronic systems are reviewed first. Various implementation examples are followed using different system classifications. The findings from this review is expected to otter a technical summary of accomplishments and challenges during the course of applying PHM for electronic systems, and to identify future research tasks to be performed to make the PHM a more viable tool for reliability assessment of electronic systems.
引用
收藏
页数:11
相关论文
共 50 条
  • [31] Marine Systems and Equipment Prognostics and Health Management: A Systematic Review from Health Condition Monitoring to Maintenance Strategy
    Zhang, Peng
    Gao, Zeyu
    Cao, Lele
    Dong, Fangyang
    Zou, Yongjiu
    Wang, Kai
    Zhang, Yuewen
    Sun, Peiting
    MACHINES, 2022, 10 (02)
  • [32] Review: Sensors for Biosignal/Health Monitoring in Electronic Skin
    Oh, Hyeon Seok
    Lee, Chung Hyeon
    Kim, Na Kyoung
    An, Taechang
    Kim, Geon Hwee
    POLYMERS, 2021, 13 (15)
  • [33] Structural Health Monitoring: Advanced Sensing, Diagnostics and Prognostics
    Li, Bing
    Li, Yongbo
    Noman, Khandaker
    SENSORS, 2025, 25 (05)
  • [34] PROGNOSTICS AND HEALTH MONITORING OF ELECTRO-HYDRAULIC SYSTEMS
    Soudbakhsh, Damoon
    Annaswamy, Anuradha M.
    PROCEEDINGS OF THE ASME 10TH ANNUAL DYNAMIC SYSTEMS AND CONTROL CONFERENCE, 2017, VOL 2, 2017,
  • [35] A Review of Post-Prognostics Decision-Making in Prognostics and Health Management
    Bougacha, Omar
    Varnier, Christophe
    Zerhouni, Noureddine
    INTERNATIONAL JOURNAL OF PROGNOSTICS AND HEALTH MANAGEMENT, 2020, 11 (02)
  • [36] Experimental Monitoring Data for Prognostics and Health Management of MEMS
    Skima, Haithem
    Medjaher, Kamal
    Varnier, Christophe
    Zerhouni, Noureddine
    2017 4TH INTERNATIONAL CONFERENCE ON CONTROL, DECISION AND INFORMATION TECHNOLOGIES (CODIT), 2017, : 55 - 60
  • [37] A Big Data Framework for Spacecraft Prognostics and Health Monitoring
    Zhang, Xiao
    Wu, Panfeng
    Tan, Chao
    2017 PROGNOSTICS AND SYSTEM HEALTH MANAGEMENT CONFERENCE (PHM-HARBIN), 2017, : 1079 - 1085
  • [38] A Review: Prognostics and Health Management in Automotive and Aerospace
    Van Duc Nguyen
    Kefalas, Marios
    Yang, Kaifeng
    Apostolidis, Asteris
    Olhofer, Markus
    Limmer, Steffen
    Baeck, Thomas
    INTERNATIONAL JOURNAL OF PROGNOSTICS AND HEALTH MANAGEMENT, 2019, 10 (02)
  • [39] A review of prognostics and health management of machine tools
    Baur, Marco
    Albertelli, Paolo
    Monno, Michele
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2020, 107 (5-6): : 2843 - 2863
  • [40] Prognostics and health management for predictive maintenance: A review
    Huang, Chao
    Bu, Siqi
    Lee, Hiu Hung
    Chan, Chun Hung
    Kong, Shu Wa
    Yung, Winco K. C.
    JOURNAL OF MANUFACTURING SYSTEMS, 2024, 75 : 78 - 101