电子系统的预测与健康监测:综述

A. Prisacaru, P. Gromala, M. Jeronimo, B. Han, Guo Qi Zhang
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引用次数: 7

摘要

在当前的自动驾驶、电气化和互联环境下,电子产品的小型化、上市时间的缩短以及新功能都带来了新的可靠性挑战。预测和健康管理(PHM)可以有效地用于解决一些关键挑战,特别是与消费电子产品向汽车行业转移相关的新挑战。PHM的概念并不新鲜,但它在电子系统中的应用相对较新。预计随着自动驾驶的实现,电子系统的PHM需求将不断增加。本文对近年来电子系统系统级PHM的研究进行了综述。本文首先综述了电子系统PHM的状态监测技术和预测方法。下面是使用不同系统分类的各种实现示例。本综述的研究结果有望对PHM在电子系统应用过程中的成就和挑战进行技术总结,并确定未来的研究任务,以使PHM成为电子系统可靠性评估的更可行的工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Prognostics and health monitoring of electronic system: A review
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 offer 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.
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