인공지능 기반 DC/DC 컨버터 커패시터 노화 진단 기법

AI Based Capacitor Aging Diagnosis for DC/DC Converters
Citations

SCOPUS

1

초록

As capacitors are under age, their performance degrade, which can lead to reduced reliability of the power converter. In this study, we propose a method for effectively analyzing capacitor’s condition by combining a data preprocessing technique using Lissajous curves with an AI model. The experimental results confirmed that the proposed method accurately predict the aging state of the capacitor by using the proposed Lissajous curves based preprocessing approach, demonstrating performance even under duty conditions that had never been trained on.

키워드

DC/DC converter; Output capacitor; Artificial intelligence
제목
인공지능 기반 DC/DC 컨버터 커패시터 노화 진단 기법
제목 (타언어)
AI Based Capacitor Aging Diagnosis for DC/DC Converters
저자
성정원; 이은규; 곽상신
DOI
10.5370/KIEE.2025.74.4.624
발행일
2025-04
저널명
전기학회논문지
권
74
호
4
페이지
624 ~ 628

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