Intelligent fault diagnosis of rolling bearing based on wavelet transform and improved ResNet under noisy labels and environment. - Pengfei Liang; Wenhui Wang; Xiaoming Yuan; Siyuan Liu; Lijie Zhang 002; Yiwei Cheng (Eng. Appl. Artif. Intell., 2022)

Unsupervised fault diagnosis of wind turbine bearing via a deep residual deformable convolution network based on subdomain adaptation under time-varying speeds. - Pengfei Liang; Bin Wang; Guoqian Jiang; Na Li; Lijie Zhang 002 (Eng. Appl. Artif. Intell., 2023)

Semi-supervised fault diagnosis of gearbox based on feature pre-extraction mechanism and improved generative adversarial networks under limited labeled samples and noise environment. - Lijie Zhang 002; Bin Wang; Pengfei Liang; Xiaoming Yuan; Na Li (Adv. Eng. Informatics, 2023)

Intelligent fault diagnosis of rolling bearing based on an active federated local subdomain adaptation method. - Xiaoming Yuan; Dongling Shi; Nian Shi; Ying Li 058; Pengfei Liang; Lijie Zhang 002; Zhi Zheng (Adv. Eng. Informatics, 2024)

A novel interpretable semi-supervised graph learning model for intelligent fault diagnosis of hydraulic pumps. - Ying Li 058; Lijie Zhang 002; Siyuan Liu; Xiangfeng Wang; Chenghang Sun; Pengfei Liang; Xiaoming Yuan (Knowl. Based Syst., 2024)

Semi-supervised meta-path space extended graph convolution network for intelligent fault diagnosis of rotating machinery under time-varying speeds. - Ying Li 058; Lijie Zhang 002; Pengfei Liang; Xiangfeng Wang; Bin Wang; Leitao Xu (Reliab. Eng. Syst. Saf., 2024)

Graph optimization algorithm enhanced by dual-scale spectral features with contrastive learning for robust bearing fault diagnosis. - Ying Li 058; Xiaoping Liu; Junhui Hu; Pengfei Liang; Bin Wang; Xiaoming Yuan; Lijie Zhang 002 (Knowl. Based Syst., 2025)