Bearing Fault Diagnosis Method Based on Multi-sensor Feature Fusion Convolutional Neural Network. - Xiaoyong Zhong; Xiangjin Song; Zhaowei Wang (ICIRA (4), 2022)

Adjustable Model Predictive Control for IPMSM Drives Based on Online Stator Inductance Identification. - Xingke An; Guohai Liu; Qian Chen 004; Wenxiang Zhao; Xiangjin Song (IEEE Trans. Ind. Electron., 2022)

Fast and Low-Overhead Time Synchronization for Industrial Wireless Sensor Networks with Mesh-Star Architecture. - Zhaowei Wang 001; Tailiang Yong; Xiangjin Song (Sensors, 2023)

DBF-CNN: A Double-Branch Fusion Residual CNN for Diagnosis of Induction Motor Broken Rotor Bar. - Yuhui Shu; Wenlei Zhang; Xiangjin Song; Guohai Liu; Qianyi Jiang (IEEE Trans. Instrum. Meas., 2023)

A Current Noise Cancellation Method Based on Fractional Linear Prediction for Bearing Fault Detection. - Kaijin Xu; Xiangjin Song (Sensors, 2024)

A Data-Driven Method for Remaining Useful Life Prediction of Rolling Bearings Under Different Working Conditions. - Xiaoyong Zhong; Xiangjin Song; Guohai Liu; Wenxiang Zhao; Wei Fan 008 (IEEE Trans. Reliab., 2024)

ITSC Fault Diagnosis for Five Phase Permanent Magnet Motors by Attention Mechanisms and Multiscale Convolutional Residual Network. - Qian Chen 004; Xianyang Dai; Xiangjin Song; Guohai Liu (IEEE Trans. Ind. Electron., 2024)

Advancing Agricultural Machinery Maintenance: Deep Learning-Enabled Motor Fault Diagnosis. - Xusong Bai; Qian Chen 004; Xiangjin Song; Weihang Hong (IEEE Access, 2025)

A Double-Branch Improved Residual Shrinkage Network for Diagnosis of Induction Motor Broken Rotor Bar Under Small Samples. - Guohai Liu; Qianyi Jiang; Yao Sun; Xiangjin Song; Han Tang; Zhengmeng Liu; Qian Chen 004 (IEEE Trans. Instrum. Meas., 2025)