Application of a modified fuzzy ARTMAP with feature-weight learning for the fault diagnosis of bearing. - Zengbing Xu; Jianping Xuan; Tielin Shi; Bo Wu 006; Youmin Hu (Expert Syst. Appl., 2009)

A novel fault diagnosis method of bearing based on improved fuzzy ARTMAP and modified distance discriminant technique. - Zengbing Xu; Jianping Xuan; Tielin Shi; Bo Wu 006; Youmin Hu (Expert Syst. Appl., 2009)

Reliable fault diagnosis method using ensemble fuzzy ARTMAP based on improved Bayesian belief method. - Min Jin; Ren Li; Zengbing Xu; Xudong Zhao 001 (Neurocomputing, 2014)

A selective fuzzy ARTMAP ensemble and its application to the fault diagnosis of rolling element bearing. - Zengbing Xu; Yourong Li; Zhigang Wang; Jianping Xuan (Neurocomputing, 2016)

Fault diagnosis of rolling bearing based on optimized soft competitive learning Fuzzy ART and similarity evaluation technique. - Xiao-Jin Wan; Licheng Liu; Zengbing Xu; Zhigang Xu; Qinglei Li; Fengxiang Xu (Adv. Eng. Informatics, 2018)

Gearbox Fault Diagnosis Based on Selective Integrated Soft Competitive Learning Fuzzy Adaptive Resonance Theory. - Xiao-Jin Wan; Licheng Liu; Zengbing Xu; Zhigang Xu (J. Comput. Inf. Sci. Eng., 2019)

A Novel Fault Diagnosis Method of Rolling Bearing Based on Integrated Vision Transformer Model. - Xinyu Tang; Zengbing Xu; Zhigang Wang (Sensors, 2022)

Ensemble Capsule Network with an Attention Mechanism for the Fault Diagnosis of Bearings from Imbalanced Data Samples. - Zengbing Xu; Carman Ka Man Lee; Yaqiong Lv; Jeffery Chan (Sensors, 2022)

A novel fault diagnosis method based on deep stable learning for bearings with imbalanced data samples. - Zengbing Xu; Carman Ka Man Lee; Chak-Nam Wong (Expert Syst. Appl., 2025)