Digital Twin of Wind Turbines for real-time continuous monitoring and inspection (WindTwin)
Funder: Innovate UKDuration: July 2017 - December 2019
People
| Name | Telephone | Office | ||
|---|---|---|---|---|
|
Professor Tat-Hean Gan Professor of Structural Integrity of Metallic Materials and Director of App (Principal investigator)
T: +44 (0)1895 268920
E: tat-hean.gan@brunel.ac.uk |
+44 (0)1895 268920 | tat-hean.gan@brunel.ac.uk | Gardiner 001c |
Outputs
Qian, P., Tian, X., Kanfoud, J., Lee, JLY. and Gan, TH. (2019) 'A novel condition monitoring method of wind turbines based on long short-term memory neural network'. Energies, 12 (18). pp. 1 - 15.Open Access Link