PUBLICATIONS
Paper
[International Conference] Jae-Hwan Moon and Kyo-Beum Lee, "Open-Fault Diagnosis of a Dual Active Bridge Converter using Convolutional Neural Networks," in Proc. IPEC (ECCE-Asia) Conf., May/Jun. 2026.
- 글쓴이 최고관리자
- 날짜 2026-06-08 00:57
- 조회 109
This paper introduces open-fault diagnosis of dual active bridge (DAB) converters using convolutional neural networks (CNN). This paper proposed open-fault diagnosis of a DAB converter using CNN. The operating characteristics of the DAB converter were examined, and the waveform variations under open-switch fault conditions were analyzed to extract distinctive features. A 1D-CNN framework was constructed based on the voltage and current waveforms for fault identification. Simulation results confirmed that the proposed method achieved accurate classification of fault types within a few switching cycles.
