Life state recognition of slewing bearing with heavy load and low speed based on point density function with fuzzy C means. - Yuanyuan Li; Jie Chen; Xiaodiao Huang; Rongjing Hong (Trans. Inst. Meas. Control, 2019)

Research on Steel Surface Defect Algorithm Based on Deep Residual Network. - Ge Jin; Rongjing Hong; Xiaochuan Lin; Yanghe Liu (AIAM, 2022)

Deep-learning based method for breech face comparisons. - Jialing Zhu; Rongjing Hong; Ashraf Uz Zaman Robin; Hao Zhang (ICMLSC, 2022)

Research on the Parameters of Feature Extraction and Matching Algorithms for Breech Face Comparisons. - Jialing Zhu; Rongjing Hong; Ashraf Uz Zaman Robin; Hao Zhang (ICRCA, 2022)

Improved Complete Ensemble Robust Local Mean Decomposition With Adaptive Noise for Slewing Bearings Performance Degradation Assessment. - Yubin Pan; Zongqiu Hu; Jie Chen; Hua Wang; Rongjing Hong (IEEE Access, 2022)

An End-to-End Steel Surface Classification Approach Based on EDCGAN and MobileNet V2. - Ge Jin; Yanghe Liu; Peiliang Qin; Rongjing Hong; Tingting Xu; Guoyu Lu (Sensors, 2023)

A new fault component selection strategy based on statistical detection for slewing bearing weak signal de-noising. - Yubin Pan; Hua Wang; Jie Chen; Rongjing Hong (Trans. Inst. Meas. Control, 2024)