Statistical Degradation in BGAs for Early Fault Detection

Abstract This paper presents a method for statistical analysis of ball grid array (BGA) pin degradation in packaged devices. A novel testing system is demonstrated featuring parallel monitoring of numerous pins, fast thermal cycling, and precise degradation data generation even in moderate stresses. The resistance change data due to temperature cycling stress is compared to stress on the pin due to its location on the chip. The results are vital for localizing vulnerabilities in pins that are not location-specific in the chip. The methods introduced in this study can be expanded to analyze advanced packaging assemblies.

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Publication Details

Journal
Proceedings - International Symposium for Testing and Failure Analysis
Published
2024-10-23
DOI
https://doi.org/10.31399/asm.cp.istfa2024p0440
Citations
1
Primary Topic
Integrated Circuits and Semiconductor Failure Analysis
Type
article
Field-Weighted Citation Impact
0.21
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article

Statistical Degradation in BGAs for Early Fault Detection

Emmanuel Bender, Tsuriel Avraham, J.B. Bernstein, Duane S. Boning
1 citations
Proceedings - International Symposium for Testing and Failure Analysis
Integrated Circuits and Semiconductor Failure Analysis
0.21
article

Statistical Degradation in BGAs for Early Fault Detection

Emmanuel Bender, Tsuriel Avraham, J.B. Bernstein, Duane S. Boning
article en
1 citations

Abstract

Abstract This paper presents a method for statistical analysis of ball grid array (BGA) pin degradation in packaged devices. A novel testing system is demonstrated featuring parallel monitoring of numerous pins, fast thermal cycling, and precise degradation data generation even in moderate stresses. The resistance change data due to temperature cycling stress is compared to stress on the pin due to its location on the chip. The results are vital for localizing vulnerabilities in pins that are not location-specific in the chip. The methods introduced in this study can be expanded to analyze advanced packaging assemblies.

Proceedings - International Symposium for Testing and Failure AnalysisVol. 84918
Ariel University (IL), Massachusetts Institute of Technology (US)
Openalex Percentile: Top 47%
Integrated Circuits and Semiconductor Failure Analysis
0.21
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