An improved CNN based on attention mechanism with multi-domain feature fusion for bearing fault diagnosis. - Mingzhu Yu; Heli Liu; Rengen Wang; Xiangwei Kong; Zhiyong Hu; Xueyi Li 004 (ICPHM, 2021)

S3M: Two-Stage-Based Semi-Self-Supervised Method for Intelligent Bearing Fault Diagnosis. - Liu Cheng; Rengen Wang; Haochen Qi; Xiangwei Kong; Jiqiang Zhang; Mingzhu Yu (IEEE Trans. Instrum. Meas., 2023)

Fault Diagnosis of the Rolling Bearing by a Multi-Task Deep Learning Method Based on a Classifier Generative Adversarial Network. - Zhunan Shen; Xiangwei Kong; Liu Cheng; Rengen Wang; Yunpeng Zhu (Sensors, 2024)