Xia Yang (EEE)

Lab Position: Ph.D Students (2019, Fall)

Email: xiay0020@e.ntu.edu.sg

Office: S2-b7C-C01-01, Electric Power System Lab

Research Topic: Data Analytic in Power System Control and Fault Detection

Brief Biography:

Received the B.E. degree from Xi'an Jiaotong University, Xi'an, China in 2017 and the M.E. degree from Nanyang Technological University, Singapore, in 2019, both in electrical engineering. He is now pursuing the Ph.D. degree at School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore. His research interests include data analytics in fault detection and control of power systems.

Education:
2013 - 2017: BSc student, School of Electrical Engineering, Xi'an Jiaotong University, China
2017 - 2019: M.Eng, School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore
2019 - NOW: PhD, School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore

Publications:

[1] Y. Xia, Y. Xu and B. Gou, “A data-driven Method for IGBT open-circuit fault diagnosis based on hybrid ensemble learning and sliding-window classification,” IEEE Trans. on Ind. Infor., 2019.

[2] Y. Xia, B. Gou and Y. Xu, “A data-driven method for current sensor fault diagnosis in single-phase PWM rectifier,” Proc. Int. Conf. Power and Energy Systems, Perth, Australia, Dec 2019.

[3] B. Gou, Y. Xu, Y. Xia, G. Wilson and S. Liu, “An intelligent time-adaptive data-driven method for sensor fault diagnosis in induction motor drive system,” IEEE Trans. on Ind. Electro., vol. 66, no. 12, pp. 9817-9827, Dec. 2019.

[4] Y. Xia, B. Gou and Y. Xu, “A new ensemble-based classifier for IGBT open-circuit fault diagnosis in three-phase PWM converter,” Prot. Control Mod. Power Syst., vol. 3, no. 33, Nov. 2018.

[5] Y. Xia, B. Gou, Y. Xu and G. Wilson, “Ensemble-based randomized classifier for data-driven fault diagnosis of IGBT in traction converters,” 2018 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia), Singapore, 2018, pp. 74-79.