Storage life evaluation of photodetector based on multi-parameter performance degradation and competitive failure

Aiming at the storage life evaluation of photodetectors, a new evaluation method for multi-parameter competitive failure storage life assessment based on Monte-Carlo method was proposed. This method comprehensively considered whether the key performance parameters of the sample have deteriorated or improved trend. Firstly, the optimal degradation model with a single parameter was selected by performance degradation modeling, so that the pseudo-life of the sample with increasing degradation trend was calculated according to the failure threshold, and the pseudo-life was regarded as the right-censored data for the sample with decreasing degradation trend. Furthermore, the optimal distribution of a single performance parameter was selected based on the pseudo-life data combined with the expectation maximization(EM) algorithm, and then the competitive failure evaluation of multi-parameters was carried out by Monte-Carlo sampling method. According to the case analysis of the photodetector storage, the feasibility of this method was verified.

Publication Details

Journal
SHILAP Revista de lepidopterología
Published
2025-04-01
Primary Topic
Neuroendocrine Tumor Research Advances
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article
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article

Storage life evaluation of photodetector based on multi-parameter performance degradation and competitive failure

SHILAP Revista de lepidopterología
Neuroendocrine Tumor Research Advances
article

Storage life evaluation of photodetector based on multi-parameter performance degradation and competitive failure

article en

Abstract

Aiming at the storage life evaluation of photodetectors, a new evaluation method for multi-parameter competitive failure storage life assessment based on Monte-Carlo method was proposed. This method comprehensively considered whether the key performance parameters of the sample have deteriorated or improved trend. Firstly, the optimal degradation model with a single parameter was selected by performance degradation modeling, so that the pseudo-life of the sample with increasing degradation trend was calculated according to the failure threshold, and the pseudo-life was regarded as the right-censored data for the sample with decreasing degradation trend. Furthermore, the optimal distribution of a single performance parameter was selected based on the pseudo-life data combined with the expectation maximization(EM) algorithm, and then the competitive failure evaluation of multi-parameters was carried out by Monte-Carlo sampling method. According to the case analysis of the photodetector storage, the feasibility of this method was verified.

SHILAP Revista de lepidopterología
Responsible consumption and production
Openalex Percentile: Top 39%
Neuroendocrine Tumor Research Advances
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