Failure mode and effects analysis using Dempster-Shafer theory and TOPSIS method: Application to the gas insulated metal enclosed transmission line (GIL). - Zhen Wang 010; Jianmin Gao; Rongxi Wang; Kun Chen; Zhiyong Gao; Yao Jiang (Appl. Soft Comput., 2018)

Failure Mode and Effects Analysis by Using the House of Reliability-Based Rough VIKOR Approach. - Zhen Wang 010; Jianmin Gao; Rongxi Wang; Kun Chen; Zhiyong Gao; Wei Zheng (IEEE Trans. Reliab., 2018)

Fault recognition using an ensemble classifier based on Dempster-Shafer Theory. - Zhen Wang 010; Rongxi Wang; Jianmin Gao; Zhiyong Gao; Yanjie Liang (Pattern Recognit., 2020)

Reliability Prediction for GIL Equipment Based on Multilayer Directed and Weighted Network and Failure Propagation. - Zhen Wang 010; Rongxi Wang; Jianmin Gao; Kun Chen; Yanjie Liang; Ze-Zhou Tang (IEEE Trans. Reliab., 2020)

F2G: A hybrid fault-function graphical model for reliability analysis of complex equipment with coupled faults. - Rongxi Wang; Yufan Li; Jinjin Xu; Zhen Wang 010; Jianmin Gao (Reliab. Eng. Syst. Saf., 2022)

A novel self-learning framework for fault identification of wind turbine drive bearings. - Jing Yuan; Zeming Liang; Rongxi Wang; Yufan Li; Zhen Wang 010; Jianmin Gao (J. Syst. Control. Eng., 2023)

Physics-data-fusion based decoupling model for coupled faults of complex electromechanical systems. - Jinjin Xu; Rongxi Wang; Zeming Liang; Pengpeng Liu; Jianmin Gao; Zhen Wang 010 (Qual. Reliab. Eng. Int., 2023)

Physics-guided, data-refined fault root cause tracing framework for complex electromechanical system. - Jinjin Xu; Rongxi Wang; Zeming Liang; Pengpeng Liu; Jianmin Gao; Zhen Wang 010 (Reliab. Eng. Syst. Saf., 2023)

A generative adversarial networks based methodology for imbalanced multidimensional time-series augmentation of complex electromechanical systems. - Rongxi Wang; Te Li; Zekai Gao; Xuegang Yan; Jin Wang; Zhen Wang 010; Jianmin Gao (Appl. Soft Comput., 2024)