A Review of Prognostics Methods for Electronic Packages: From a Structure-Aware System-Level Perspective

IF 5.7 2区 计算机科学 Q1 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE
Zihan Zhang;Alina Gorbunova;Keunho Rhew;Jianjun Shi
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引用次数: 0

Abstract

Prognostics for electronic packages is an evolving field critical to predicting the reliability and lifespan of electronic systems. This article proposes a novel “structure-aware system-level (SASL)” approach, addressing the limitations of traditional methods that treat components or subsystems as isolated black boxes. SASL examines how individual component degradation propagates, interacts within the package structure, and collectively determines the system's lifetime. The article reviews three key areas: component-level prognostics, package structure, and system-level analysis, offering guidance for future research. It advocates interdisciplinary collaboration to develop practical and interpretable prognostics methods, driving innovation in industries reliant on complex electronic systems.
电子封装预测方法综述:从结构感知的系统级视角
电子封装预测是一个不断发展的领域,对预测电子系统的可靠性和寿命至关重要。本文提出了一种新颖的“结构感知系统级(SASL)”方法,解决了传统方法将组件或子系统视为孤立的黑盒的局限性。SASL检查单个组件的退化如何传播,如何在包结构中相互作用,以及如何共同决定系统的生命周期。本文回顾了三个关键领域:组件级预测、包结构和系统级分析,为未来的研究提供了指导。它提倡跨学科合作,开发实用和可解释的预测方法,推动依赖复杂电子系统的行业的创新。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
IEEE Transactions on Reliability
IEEE Transactions on Reliability 工程技术-工程:电子与电气
CiteScore
12.20
自引率
8.50%
发文量
153
审稿时长
7.5 months
期刊介绍: IEEE Transactions on Reliability is a refereed journal for the reliability and allied disciplines including, but not limited to, maintainability, physics of failure, life testing, prognostics, design and manufacture for reliability, reliability for systems of systems, network availability, mission success, warranty, safety, and various measures of effectiveness. Topics eligible for publication range from hardware to software, from materials to systems, from consumer and industrial devices to manufacturing plants, from individual items to networks, from techniques for making things better to ways of predicting and measuring behavior in the field. As an engineering subject that supports new and existing technologies, we constantly expand into new areas of the assurance sciences.
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