HKF-SVR Optimized by Krill Herd Algorithm for Coaxial Bearings Performance Degradation Prediction. - Fang Liu 003; Liubin Li; Yongbin Liu; Zheng Cao 006; Hui Yang; Siliang Lu (Sensors, 2020)

Performance Degradation Assessment for Coaxial Bearings Using Kernel JADE and Two-Class Model. - Fang Liu 003; Haidong Huang; Yongbin Liu; Bing He; Xiaowen Dong 002; Siliang Lu; Bin Ju; Zheng Cao 006 (IEEE Trans. Instrum. Meas., 2021)

A Two-Stage Learning Model for Track-Side Acoustic Bearing Fault Diagnosis. - Fang Liu 003; Ruixiang Wu; Fanrong Teng; Yongbin Liu; Siliang Lu; Bin Ju; Zheng Cao 006 (IEEE Trans. Instrum. Meas., 2021)

Feature Extraction Based on Hierarchical Improved Envelope Spectrum Entropy for Rolling Bearing Fault Diagnosis. - Zhixiang Chen 018; Yang Yang 119; Changbo He; Yongbin Liu; Xianzeng Liu; Zheng Cao 006 (IEEE Trans. Instrum. Meas., 2023)

Fault Diagnosis of Rotating Machinery Based on the Improved Multidimensional Normalization ResNet. - Changbo He; Yujie Cao; Yang Yang 119; Yongbin Liu; Xianzeng Liu; Zheng Cao 006 (IEEE Trans. Instrum. Meas., 2023)

Fault Signal Simulation and Service Condition Monitoring of Cracked Gear System. - Xianzeng Liu; Zhongding Fan; Zheng Cao 006; Yongbin Liu; Ziqin Kang; Yawei Hu (IEEE Trans. Instrum. Meas., 2023)

A Baseline Similarity Attention-Based Dual-Channel Feature Fusion Network for Machine Remaining Useful Life Prediction. - Yawei Hu; Xuanlin Li; Hang Wang; Yongbin Liu; Xianzeng Liu; Zheng Cao 006 (IEEE Trans. Instrum. Meas., 2024)

Remaining useful life prediction for machinery using multimodal interactive attention spatial-temporal networks with deep ensembles. - Yuanyuan Zhou 004; Hang Wang; Huaiwang Jin; Yongbin Liu; Xianzeng Liu; Zheng Cao 006 (Expert Syst. Appl., 2025)

Feature Information Fusion-Enhanced Representation Network for Rotating Machinery Remaining Useful Life Prediction. - Yuanyuan Zhou 004; Hang Wang; Yongbin Liu; Zhongding Fan; Zheng Cao 006; Xianzeng Liu (IEEE Trans. Instrum. Meas., 2025)