PUBLICATIONS
Paper
[Domestic Conference] In-Hoan Park and Kyo-Beum Lee, "Open-switch fault classification in a Vienna rectifier using a 1D convolutional neural network-long short-term memory model," 조명전기설비학회 학술대회 논문집, pp. 125, 2026.
- 글쓴이 최고관리자
- 날짜 2026-06-08 18:28
- 조회 250
This paper proposes a one-dimensional convolutional neural network and long short-term memory (1D CNN-LSTM)-based classification method for open-switch faults in a Vienna rectifier. Single and compound open-switch fault scenarios were established, and data for each operating condition were obtained. Based on these data, a 1D CNN-LSTM model was designed for fault classification. The results confirmed that the proposed model can distinguish the normal state from fault states and classify both single and compound faults.
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