• 대한전기학회
Mobile QR Code QR CODE : The Transactions of the Korean Institute of Electrical Engineers
  • COPE
  • kcse
  • 한국과학기술단체총연합회
  • 한국학술지인용색인
  • Scopus
  • crossref
  • orcid
Title AI Based Capacitor Aging Diagnosis for DC/DC Converter
Authors 성정원(Jung-Won Sung) ; 이은규(Eun-Gyu Lee) ; 곽상신(Sangshin Kwak)
DOI https://doi.org/10.5370/KIEE.2025.74.4.624
Page pp.624-628
ISSN 1975-8359
Keywords DC/DC converter; Output capacitor; Artificial intelligence
Abstract 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.