Principal Component Analysis Based GaN Transistor Live Health Monitoring

F. Chalvin, Y. Miyamae, Yoshiaki Oku, K. Nakahara
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Abstract

Adoption of next generation semiconductors is still low, partly due to limited knowledge from the reliability point of view. To help solving this problem we introduce a way to track transistor degradation in real time using PCA analysis. By using this method, it is possible to detect when a transistor is no longer operating nominally from easily obtained voltage measurements.
基于主成分分析的GaN晶体管实时健康监测
下一代半导体的采用率仍然很低,部分原因是从可靠性的角度来看,知识有限。为了帮助解决这个问题,我们引入了一种使用PCA分析实时跟踪晶体管退化的方法。通过使用这种方法,可以通过容易获得的电压测量来检测晶体管何时不再正常工作。
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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