复杂装备服役质量控制：

[21]Rongxi Wang#, Te Li, Zekai Gao, Xuegang Yan,Jianmin Gao. A Generative Adversarial Networks Based Methodology for Imbalanced Multidimensional Time-series Augmentation of Complex Electromechanical Systems. Applied Soft Computing, 2024,153:111301. (Indexed by SCI and EI, IF:8.7)

[20] Xiangpeng Chen, Rongxi Wang#, Jianmin Gao. An Optimization Framework for Enterprise Quality Infrastructure System under Coupling Constraints. International Journal of Production Economics, 2023,262:108897. (Indexed by SCI and EI, IF:12)

[19] Jing Yuan, Zeming Liang, Rongxi Wang#, Yufan Li, Zhen Wang, Jianmin Gao. A novel self-learning framework for fault identification of wind turbine drive bearings. Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering, 2023. (Indexed by SCI and EI, IF:1.623)

[18] Linhan Guo#, Yu Wang, Rui Kang, Rongxi Wang, Yuchen Li, Shunkun Yang. Energy yield optimization for micro-inverter photovoltaic systems with spare parts inventory. Sustainable Energy Technologies and Assessments, 2022, 53: 102729. (Indexed by SCI and EI, IF:8)【TOP期刊】

[17] Rongxi Wang#, Xu Gao, Jianmin Gao, Zhiyong Gao, Juntai Xie. Uncertain Texture Features Fusion Based Method for Performance Condition Evaluation of Complex Electromechanical Systems. ISA Transactions, 2021, 112: 108-121. (Indexed by SCI and EI, IF:7.3)【TOP期刊】

[16] Yanjie Liang, Zhiyong Gao, Jianmin Gao, Rongxi Wang, Qianqian Liu, Yahui Cheng. A new method for multivariable nonlinear coupling relations analysis in complex electromechanical system. Applied Soft Computing, 2020, 94: 106457. (Indexed by SCI and EI, IF:8.7)【TOP期刊】

[15] Rongxi Wang#, Jianmin Gao, Shiqiang Li, Jinjin Xu, Zhen Liu. Condition-Based Dynamic Supportability Mechanism for the Performance Quality of Large-Scale Electromechanical Systems. IEEE Access, 2020(8): 117036-117050. (Indexed by SCI and EI, IF:4.098)

[14] Zhen Wang, Rongxi Wang#, Jianmin Gao, Zhiyong Gao, Yanjie Liang. Fault recognition using an ensemble classifier based on Dempster–Shafer Theory. Pattern Recognition, 2020(99): 107079. (Indexed by SCI and EI, IF:8.518)【TOP期刊】

[13] Rongxi Wang#, Cauyuan Peng, Jianmin Gao, Zhiyong Gao, Hongquan Jiang. A Dilated Convolution Network Based LSTM Model for Multi-step Prediction of Chaotic Time-series. Computational and Applied Mathematics, 2020, 39:30. (Indexed by SCI and EI, IF:2.998)

[12]  Rongxi Wang#, Xu Gao, Jianmin Gao, Zhiyong Gao, Kun Chen, Caiyuan Peng. An Artificial Immune and Incremental Learning Inspired Novel Framework for Performance Pattern Identification of Complex Electromechanical Systems. Science China-Technological Sciences, 2020, 63(1): 1-13. (Indexed by SCI and EI, IF:4.6)

[11]  Hongquan Jiang, Rongxi Wang#, Zhiyong Gao, Jianmin Gao, Hongye Wang. Classification of weld defects based on the analytical hierarchy process and Dempster–Shafer evidence theory. Journal of Intelligent Manufacturing, 2019.30(4): p. 2013-2024. (Indexed by SCI and EI, IF:8.3)

[10] Yanjie Liang, Zhiyong Gao, Jianmin Gao, Rongxi Wang#. Data fusion combined with echo state network for multivariate time series prediction in complex electromechanical system. Computational & Applied Mathematics, 2018. 37(5): p. 5920-5934. (Indexed by SCI and EI, IF:2.998)

[9]   Rongxi Wang#, Xu Gao, Jianmin Gao, Zhiyong Gao, Jiani Kang. An information transfer based novel framework for fault root cause tracing of complex electromechanical systems in the processing industry. Mechanical Systems and Signal Processing, 2018. 101: p. 121-139. (Indexed by SCI and EI, IF:8.934)【TOP期刊】

[8]   Rongxi Wang#, Jianmin Gao, Zhiyong Gao, Xu Gao, Hongquan Jiang. Analysis of multifractality of multivariable coupling relationship of complex electromechanical system in process industry. Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering, 2017.231(6): p. 1085-1100. (Indexed by SCI and EI, IF:1.822)

[7]   Rongxi Wang#, Jianmin Gao, Zhiyong Gao, Xu Gao, Hongquan Jiang, Zeming Liang.  Interaction analysis-based information modeling of complex electromechanical systems in the processing industry. Proceedings of the Institution of Mechanical Engineers Part I-Journal of Systems and Control Engineering, 2017. 231(8): p. 638-651. (Indexed by SCI and EI, IF:1.71)

[6]   Hongquan Jiang, Rongxi Wang#, Jianmin Gao, Zhiyong Gao, Xu Gao. Evidence fusion-based framework for condition evaluation of complex electromechanical system in process industry. Knowledge-Based Systems, 2017. 124: p. 176-187. (Indexed by SCI and EI, IF:8.8)【TOP期刊】

[5]   Zhiyong Gao, Rongxi Wang#, Hongquan Jiang, Jianmin Gao, Rongguang Dong. Coupling analysis-based false monitoring information identification of production system in process industry. Science China-Technological Sciences, 2017. 60(6): p. 807-817. (Indexed by SCI and EI, IF:4.6)

[4]   Rongxi Wang#, Jianmin Gao, Zhiyong Gao, Xu Gao, Hongquan Jiang. Complex network theory-based condition recognition of electromechanical system in process industry. Science China Technological Sciences, 2016. 59(4): p. 604-617. (Indexed by SCI and EI, IF:4.6)

[3]  Fault mode prediction based on decision tree. in 2016 IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2016, October 3, 2016 - October 5, 2016. 2016. Xi'an, China: Institute of Electrical and Electronics Engineers Inc. (Indexed by EI)

[2]   Data fusion based phase space reconstruction from multi-time series. International Journal of Database Theory and Application, 2015. 8(6): p. 101-110. (Indexed by EI)

[1]   Hilbert-Huang Transform Based Pseudo-Periodic Feature Extraction of Nonlinear Time Series. in Measuring Technology and Mechatronics Automation (ICMTMA), 2015 Seventh International Conference on. 2015. (Indexed by EI)

高端装备可靠性分析：

[12] Jinjin Xu, Rongxi Wang#, Zeming Liang, Pengpeng Liu, Jianmin Gao, Zhen Wang.  Physics-Guided, Data-Refined Fault Root Cause Tracing Framework for Complex Electromechanical System. Reliability Engineering and System Safety, 2023, 227(109293). (Indexed by SCI and EI, IF:8.1)

[11] Jinjin Xu, Rongxi Wang#, Zeming Liang, Pengpeng Liu, Jianmin Gao, Zhen Wang. Physics-Data-Fusion Based Decoupling Model for Coupled Faults of Complex Electromechanical Systems. Quality and Reliability Engineering International, 2023, 39(1): 206-228. (Indexed by SCI and EI, IF:3.007)

[10] Rongxi Wang#, Jinjin Xu, Wenxin Zhang, Jianmin Gao, Yufan Li, Fumin Chen. Reliability Analysis of Complex Electromechanical Systems: State of the Art, Challenges, and Prospects. Quality and Reliability Engineering International, 2022, 38(7): 3935-3969. (Indexed by SCI and EI, IF:3.007)

[9]   Rongxi Wang#, Yufan Li, Jinjin Xu, Zhen Wang, Jianmin Gao. F2G: A Hybrid Fault-Function Graphical Model for Reliability Analysis of Complex Equipment with Coupled Faults. Reliability Engineering and System Safety, 2022, 226(108662). (Indexed by SCI and EI, IF:8.1)【TOP期刊】

  [8]   Zhen Wang, Rongxi Wang#, Wei Deng, Yong Zhao. An Integrated Approach-Based FMECA for Risk Assessment: Application to Offshore Wind Turbine Pitch System. Energies, 2022, 15(5): 1858. (Indexed by SCI and EI, IF:3.252)

  [7]   Zhiyong Gao, Jiwu Li, Rongxi Wang#. Prognostics uncertainty reduction by right-time prediction of remaining useful life based on hidden Markov model and proportional hazard model. Eksploatacja i Niezawodnosc - Maintenance and Reliability, 2021, 23(1): 154-164. (Indexed by SCI and EI, IF:2.742)

[6]   Zhen Wang, Rongxi Wang#, Jaimin Gao, Kun Chen, Yanjie Liang, Zezhou Tang, Reliability Prediction for GIL Equipment Based on Multilayer Directed and Weighted Network and Failure Propagation.. IEEE Transactions on Reliability, 2020, 69(4): 1207-1229. (Indexed by SCI and EI, IF:5.883)【TOP期刊】

[5]   Rongxi Wang#, Xu Gao, Zhiyong Gao, Shiqiang Li, Jianmin Gao, Jinjin Xu, Wei Deng. Comprehensive Reliability Evaluation of Multi-State Complex Electromechanical Systems Based on Similarity of Cloud Models. Quality and Reliability Engineering International, 2020, 36(3): 1048-1073. (Indexed by SCI and EI, IF:3.007)

[4]   Rongxi Wang#, Zezhou Tang, Jianmin Gao, Zhiyong Gao, Zhen Wang.  Probabilistic Model-Checking Based Reliability Analysis for Failure Correlation of Multi-State Systems. Quality Engineering, 2020, 32(4): 566-582. (Indexed by SCI and EI, IF:2.286)

[3]   Xu Gao, Rongxi Wang#, Jianmin Gao, Zhiyong Gao, Wei Deng.  A novel framework for the reliability modelling of repairable multistate complex mechanical systems considering propagation relationships. Quality and Reliability Engineering International, 2019. 35(1): 84-98. (Indexed by SCI and EI, IF:3.007)

[2]   Zhen Wang, Jianmin Gao, Rongxi Wang#, Kun Chen, Zhiyong Gao, Yao Jiang.   Failure mode and effects analysis using Dempster-Shafer theory and TOPSIS method: Application to the gas insulated metal enclosed transmission line (GIL). Applied Soft Computing, 2018. 70: p. 633-647. (Indexed by SCI and EI, IF:8.7)【TOP期刊】

[1]   Zhen Wang, Jianmin Gao, Rongxi Wang#, Kun Chen, Zhiyong Gao, Wei Zheng.  Failure Mode and Effects Analysis by Using the House of Reliability-Based Rough VIKOR Approach. IEEE Transactions on Reliability, 2018.67(1): p. 230-248. (Indexed by SCI and EI, IF:5.883)【TOP期刊】