A status assessment model for dynamic system based on cloud evidence reasoning. - Chao Cheng; Jiuhe Wang 001; Caixin Fu; Bangcheng Zhang (IECON, 2019)

Health Status Prediction Based on Belief Rule Base for High-Speed Train Running Gear System. - Chao Cheng; Jiuhe Wang 001; Wanxiu Teng; Mingliang Gao 003; Bangcheng Zhang; Xiaojing Yin; Hao Luo 003 (IEEE Access, 2019)

A Review of Intelligent Fault Diagnosis for High-Speed Trains: Qualitative Approaches. - Chao Cheng; Jiuhe Wang 001; Hongtian Chen; Zhiwen Chen 001; Hao Luo 003; Pu Xie (Entropy, 2021)

Health Status Assessment for LCESs Based on Multidiscounted Belief Rule Base. - Chao Cheng; Jiuhe Wang 001; Hongtian Chen; Zhijie Zhou 001; Wanxiu Teng; Bangcheng Zhang (IEEE Trans. Instrum. Meas., 2021)

An optimization control strategy for braking system of high-speed trains under partial loss of braking force. - Jiuhe Wang 001; Zhiyong Chen 001; Zhiwen Chen 001; Tao Peng 010; Lijuan Peng; Ruifeng Liu (ICCA, 2022)

An SFA-HMM Performance Evaluation Method Using State Difference Optimization for Running Gear Systems in High-Speed Trains. - Chao Cheng; Meng Wang; Jiuhe Wang 001; Junjie Shao; Hongtian Chen (Int. J. Appl. Math. Comput. Sci., 2022)

A BRB-Based Effective Fault Diagnosis Model for High-Speed Trains Running Gear Systems. - Chao Cheng; Jiuhe Wang 001; Zhi-Jie Zhou 001; Wanxiu Teng; Zhongbo Sun; Bangcheng Zhang (IEEE Trans. Intell. Transp. Syst., 2022)

A Unified BRB-Based Framework for Real-Time Health Status Prediction in High-Speed Trains. - Chao Cheng; Yuhong Guo; Jiuhe Wang 001; Hongtian Chen; Junjie Shao (IEEE Trans. Veh. Technol., 2022)