- A novel intelligent multicross domain fault diagnosis of servo motor-bearing system based on Domain Generalized Graph Convolution Autoencoder. Dans: Structural Health Monitoring. :
- A robust multi-scale learning network with quasi-hyperbolic momentum-based Adam optimizer for bearing intelligent fault diagnosis under sample imbalance scenarios and strong noise environment. Dans: Structural Health Monitoring, v. 23, n. 3 (septembre 2023). (2023):
- Diversity maximization-based transfer diagnosis approach of rotating machinery. Dans: Structural Health Monitoring, v. 23, n. 1 (mai 2023). (2023):
- An adaptive variational mode extraction method based on multi-domain and multi-objective optimization for bearing fault diagnosis. Dans: Structural Health Monitoring, v. 22, n. 4 (décembre 2022). (2022):
- A new approach to health condition identification of rolling bearing using hierarchical dispersion entropy and improved Laplacian score. Dans: Structural Health Monitoring, v. 20, n. 3 (janvier 2021). (2021):
- Health condition identification for rolling bearing using a multi-domain indicator-based optimized stacked denoising autoencoder. Dans: Structural Health Monitoring, v. 19, n. 5 (octobre 2019). (2019):