Items where Author is "Qian, Peng"

Journal Article

Si, Yulin and Chen, Zheng and Zeng, Weijian and Sun, Jili and Zhang, Dahai and Ma, Xiandong and Qian, Peng (2021) The influence of power-take-off control on the dynamic response and power output of combined semi-submersible floating wind turbine and point-absorber wave energy converters. Ocean Engineering, 227: 108835. ISSN 0029-8018

Qian, Peng and Ma, Xiandong and Zhang, Dahai and Wang, Junheng (2019) Data-driven condition monitoring approaches to improving power output of wind turbines. IEEE Transactions on Industrial Electronics, 66 (8). 6012 - 6020. ISSN 0278-0046

Wang, Junheng and Yuan, Jianping and Fang, Zheng and Tang, Zhi and Qian, Peng and Ye, Jianqiao (2018) A model for predicting smoke back-layering length in tunnel fires with the combination of longitudinal ventilation and point extraction ventilation in the roof. Tunnelling and Underground Space Technology, 80. pp. 16-25. ISSN 0886-7798

Wang, Yifei and Ma, Xiandong and Qian, Peng (2018) Wind turbine fault detection and identification through PCA-based optimal variable selection. IEEE Transactions on Sustainable Energy, 9 (4). pp. 1627-1635. ISSN 1949-3029

Qian, Peng and Ma, Xiandong and Liu, Guohai and Chen, Zhaoling (2018) Reducing neutral-point voltage fluctuation in NPC three-level active power filters. Electrical Engineering, 100 (2). pp. 721-732. ISSN 0948-7921

Qian, Peng and Ma, Xiandong and Zhang, Dahai (2017) Estimating Health Condition of the Wind Turbine Drivetrain System. Energies, 2017 (10): 1583. ISSN 1996-1073

Qian, Peng and Ma, Xiandong and Cross, Philip (2017) An integrated data-driven model-based approach to condition monitoring of the wind turbine gearbox. IET Renewable Power Generation, 11 (9). pp. 1177-1185.

Ma, Xiandong and Cross, Philip and Qian, Peng (2016) A condition monitoring system for an early warning of developing faults in wind turbine electrical systems. Insight – Non-Destructive Testing and Condition Monitoring, 58 (12). pp. 663-670. ISSN 1354-2575

Contribution in Book/Report/Proceedings

Qian, Peng and Ma, Xiandong and Wang, Yifei (2015) Condition monitoring of wind turbines based on extreme learning machine. In: ICAC2015 : Proceedings of the 21st International Conference on Automation and Computing. IEEE, GBR, pp. 37-42. ISBN 9780992680107

Thesis

Qian, Peng and Ma, Xiandong (2017) Data-driven model-based approaches to condition monitoring and improving power output of wind turbines. PhD thesis, Lancaster University.