彭衛文，博士，副教授，碩士生導師，中山大學“百人計畫”人才引進。於2009、2012、2015年分別獲得電子科技大學工學學士、碩士和博士學位。2009年赴香港城市大學任職研究助理半年，2014年赴加州大學洛杉磯分校聯合培養一年，2016年赴新加坡國立大學任職研究員兩年。主要從事系統可靠性、智慧型系統的狀態監測、智慧型故障預測與健康管理等方面的研究。
主要論著：
[1] W. Peng, Z.S. Ye, N. Chen*. Bayesian deep learning based health prognostics towards prognostics uncertainty. IEEE Transactions on Industrial Electronics, 2019, accepted.
[2] W. Peng, Z.S. Ye, N. Chen*. Joint online RUL prediction for multivariate deteriorating systems. IEEE Transactions on Industrial Informatics, 2018; DOI: 10.1109/TII.2018.2869429.
[3] J. Zhu, N. Chen, W. Peng*. Estimation of bearing remaining useful life based on multiscale convolutional neural network. IEEE Transactions on Industrial Electronics, 2019; 66: 3208-3216.
[4] W. Peng, N. Balakrishnan, H.Z. Huang*. Reliability modelling and assessment of a heterogeneously repaired system with partially relevant recurrence data. Applied Mathematical Modelling, 2018; 59: 696-712.
[5] W. Peng, L. Shen, Y. Shen*, Q. Sun. Reliability analysis of repairable systems with recurrent misuse-induced failures and normal-operation failures. Reliability Engineering & System Safety, 2018; 171: 87-98. (ESI高被引論文)
[6] S. Chen, Z. Qi, D. Chen, L. Guo, W. Peng*. Investigation of Bayesian network for reliability analysis and fault diagnosis of complex systems with real case applications. Advances in Mechanical Engineering, 2018; 9(10): 1-18.
[7] W. Peng, Y.F. Li, Y.J. Yang, J. Mi, H.Z. Huang*. Bayesian degradation analysis with inverse Gaussian process models under time-varying degradation rates. IEEE Transactions on Reliability, 2017; 66: 84-96. (ESI高被引論文)
[8] W. Peng, Y.F. Li, Y.J. Yang, S.P. Zhu, H.Z. Huang*. Bivariate analysis of incomplete degradation observations based on inverse Gaussian processes and copulas. IEEE Transactions on Reliability, 2016; 65: 624-639. (ESI高被引論文)
[9] W. Peng, Y.F. Li, J. Mi, Le Yu, H.Z. Huang*. Reliability of complex systems under dynamic conditions: A Bayesian multivariate degradation perspective. Reliability Engineering & System Safety, 2016; 153: 75-87.
[10] W. Peng, Y.F. Li, Y.J. Yang, J. Mi, H.Z. Huang*. Leveraging degradation testing and condition monitoring for field reliability analysis with time-varying operating missions. IEEE Transactions on Reliability, 2015; 64: 1367-1382.
[11] W. Peng, Y.F. Li, Y.J. Yang, H.Z. Huang*, M.J. Zuo. Inverse Gaussian process models for degradation analysis: A Bayesian perspective. Reliability Engineering & System Safety, 2014; 130: 175-189.
[12] W. Peng, Y. Liu, Y.F. Li, S.P. Zhu, H.Z. Huang*. A Bayesian optimal design for degradation tests based on the inverse Gaussian process. Journal of Mechanical Science and Technology, 2014; 28(10): 3937-3946.
[13] W. Peng, H.Z. Huang*, Y. Li, M.J. Zuo, M. Xie. Life cycle reliability assessment of new products—A Bayesian model updating approach. Reliability Engineering & System Safety, 2013; 112: 109-119.
[14] W. Peng, H.Z. Huang*, M. Xie, Y. Yang, Y. Liu. A Bayesian approach for system reliability analysis with multilevel pass-fail, lifetime and degradation data sets. IEEE Transactions on Reliability, 2013; 62(3): 689-699.
