A novel intelligent method for bearing fault diagnosis based on affinity propagation clustering and adaptive feature selection. - Zexian Wei; Yanxue Wang; Shuilong He; Jiading Bao (Knowl. Based Syst., 2017)

Feature Trend Extraction and Adaptive Density Peaks Search for Intelligent Fault Diagnosis of Machines. - Yanxue Wang; Zexian Wei; Jianwei Yang (IEEE Trans. Ind. Informatics, 2019)

Intelligent fault diagnosis of train axle box bearing based on parameter optimization VMD and improved DBN. - Zhenzhen Jin; Deqiang He; Zexian Wei (Eng. Appl. Artif. Intell., 2022)

Fault diagnosis of bearing based on refined piecewise composite multivariate multiscale fuzzy entropy. - Zhenzhen Jin; Yulong Xiao; Deqiang He; Zexian Wei; Yingqian Sun; Weifeng Yang (Digit. Signal Process., 2023)

Density-Based Affinity Propagation Tensor Clustering for Intelligent Fault Diagnosis of Train Bogie Bearing. - Zexian Wei; Deqiang He; Zhenzhen Jin; Bin Liu 053; Sheng Shan; Yanjun Chen 002; Jian Miao (IEEE Trans. Intell. Transp. Syst., 2023)

Intelligent fault diagnosis and health stage division of bearing based on tensor clustering and feature space denoising. - Zexian Wei; Deqiang He; Zhenzhen Jin; Sheng Shan; Xueyan Zou; Jian Miao; Chang Liu (Appl. Intell., 2023)

Direct Denoising of Fault Signal for Train Bogie Bearing Under Speed Change Condition. - Zexian Wei; Deqiang He; Zhenzhen Jin; Haimeng Sun; Sheng Shan; Chang Liu; Cai Yi (IEEE Trans. Veh. Technol., 2024)

Bogie key components fault diagnosis utilizing multi-sensor tensor graphs and dual-attribute feature selection. - Zexian Wei; Deqiang He; Zhenzhen Jin; Haimeng Sun; Jinxin Wu; Sheng Shan; Jian Miao; Cai Yi (Eng. Appl. Artif. Intell., 2025)

AGFCN:A bearing fault diagnosis method for high-speed train bogie under complex working conditions. - Deqiang He; Jinxin Wu; Zhenzhen Jin; Chenggeng Huang; Zexian Wei; Cai Yi (Reliab. Eng. Syst. Saf., 2025)