Physics-informed trustworthy fault diagnosis for helicopter transmission systems
Funder: Royal SocietyDuration: March 2023 - March 2025
People
| Name | Telephone | Office | ||
|---|---|---|---|---|
|
Professor Hongying Meng Professor
T: +44 (0)1895 265496
E: hongying.meng@brunel.ac.uk |
+44 (0)1895 265496 | hongying.meng@brunel.ac.uk | Howell Building 233 |
|
Professor Asoke Nandi Professor - Electronic & Computer Engineering (Principal investigator)
T: +44 (0)1895 266119
E: asoke.nandi@brunel.ac.uk |
+44 (0)1895 266119 | asoke.nandi@brunel.ac.uk | Howell Building 211 |
Outputs
Wang, T., Meng, H., Zhang, F. and Qin, R. (2024) 'Fault Detection of Wheelset Bearings through Vibration-Sound Fusion Data Based on Grey Wolf Optimizer and Support Vector Machine'. Technologies, 12 (9). pp. 1 - 14.Open Access Link
Wang, T., Meng, H., Qin, R., Zhang, F. and Nandi, AK. (2024) 'Real-Time Monitoring of Wind Turbine Bearing Using Simple Neural Network on Raspberry Pi'. Applied Sciences, 14 (7). pp. 1 - 14.Open Access Link
Wang, J., Ahmed, H., Chen, X., Yan, R. and Nandi, AK. (2024) 'Improved Adversarial Transfer Network for Bearing Fault Diagnosis under Variable Working Conditions'. Applied Sciences, 14 (6). pp. 1 - 17.Open Access Link