1. D. Ruan et al., CNN parameter design based on fault signal analysis and its application in bearing fault diagnosis, Adv. Eng. Inform., vol. 55, Jan. 2023, Art. no. 101877.
2. X. Wang et al., Adaptive variational autoencoding generative adversarial networks for rolling bearing fault diagnosis, Adv. Eng. Inform., vol. 56, Apr. 2023, Art. no. 102027.
3. F. Liu et al., Structural discrepancy and domain adversarial fusion network for cross-domain fault diagnosis, Adv. Eng. Inform., vol. 58, Oct. 2023, Art. no. 102217.
4. Adaptive intermediate class-wise distribution alignment: a universal domain adaptation and generalization method for machine fault diagnosis;Qian;IEEE Trans. Neural Netw. Learn. Syst., Early Access,2023
5. Passive thermography based bearing fault diagnosis using transfer learning with varying working conditions;Choudhary;IEEE Sensors. J.,2022