Degradation-based burn-in policy for component and system levels

Burn-in has emerged as a powerful method to eliminate infant failures in components prior to field deployment. Burn-in processes generally consist of two stages: component-level and system-level. Component burn-in involves testing individual components before they are assembled into a system, while system burn-in refers to testing the complete system after assembly. This paper focuses on component and system burn-in with respect to the series system. The proposed burn-in model incorporates degradation levels of the component and system. Each interconnect defect leads to an independent failure due to connection failure, and the failure time of connection failure follows a Weibull distribution. We also present a cost model that aims to find the optimal burn-in duration for both component and system by minimizing the expected costs.

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Publication Details

Journal
IET conference proceedings.
Published
2025-12-01
DOI
https://doi.org/10.1049/icp.2025.3393
Primary Topic
Reliability and Maintenance Optimization
Type
article
Field-Weighted Citation Impact
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article

Degradation-based burn-in policy for component and system levels

Liying Wang, Xiaoliang Ling, Yinzhao Wei, Qi Wang
IET conference proceedings.
Reliability and Maintenance Optimization
article

Degradation-based burn-in policy for component and system levels

Liying Wang, Xiaoliang Ling, Yinzhao Wei, Qi Wang
article en

Abstract

Burn-in has emerged as a powerful method to eliminate infant failures in components prior to field deployment. Burn-in processes generally consist of two stages: component-level and system-level. Component burn-in involves testing individual components before they are assembled into a system, while system burn-in refers to testing the complete system after assembly. This paper focuses on component and system burn-in with respect to the series system. The proposed burn-in model incorporates degradation levels of the component and system. Each interconnect defect leads to an independent failure due to connection failure, and the failure time of connection failure follows a Weibull distribution. We also present a cost model that aims to find the optimal burn-in duration for both component and system by minimizing the expected costs.

IET conference proceedings.Vol. 2025(35)
Hebei University of Economics and Business (CN), Hebei University of Science and Technology (CN), Shijiazhuang Tiedao University (CN)
Openalex Percentile: Top 52%
Reliability and Maintenance Optimization
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