DBDA-net: An interpretable multi-source domain adaptive model for bearing fault diagnosis using dual-end vibration signals

Ziang Du; Yanfei Liu; Zhaoqiang Wang; Congbao Tian; Qian Zhang

doi:10.1007/s44443-026-00803-6

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Cite this Article (APA)

Ziang, D., Yanfei, L., Zhaoqiang, W., Congbao, T., Qian, Z. (2026). DBDA-net: An interpretable multi-source domain adaptive model for bearing fault diagnosis using dual-end vibration signals. Journal of King Saud University - Computer and Information Sciences. https://doi.org/10.1007/s44443-026-00803-6