Electronic System Life Prediction Algorithm Based on the Physical of Failure

Enhancing the availability and safety of electronic systems necessitates a comprehensive investigation into their reliability. This study proposes an electronic system life prediction algorithm based on the physics of failure. For commonly used components, both failure physical models and degradation physical models are presented. An improved binary decision diagram (BDD) is constructed, accompanied by the development of a model-solving algorithm. Ultimately, the proposed methodology is applied to the driver circuit board of an electronic controller as a specific case study, thereby demonstrating its effectiveness and validity.

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Published
2024-10-11
DOI
https://doi.org/10.1109/phm-beijing63284.2024.10874554
Primary Topic
Industrial Vision Systems and Defect Detection
Type
article
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article

Electronic System Life Prediction Algorithm Based on the Physical of Failure

Yanfang Wang, Ying Chen
Industrial Vision Systems and Defect Detection
article

Electronic System Life Prediction Algorithm Based on the Physical of Failure

Yanfang Wang, Ying Chen
article en

Abstract

Enhancing the availability and safety of electronic systems necessitates a comprehensive investigation into their reliability. This study proposes an electronic system life prediction algorithm based on the physics of failure. For commonly used components, both failure physical models and degradation physical models are presented. An improved binary decision diagram (BDD) is constructed, accompanied by the development of a model-solving algorithm. Ultimately, the proposed methodology is applied to the driver circuit board of an electronic controller as a specific case study, thereby demonstrating its effectiveness and validity.

Beihang University (CN)
Responsible consumption and production
Openalex Percentile: Top 59%
Industrial Vision Systems and Defect Detection
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