Distinguished Visiting Fellowship Award - Prof Weihua Zhang from Southwest Jiaotong University, China
Funder: Royal Academy of EngineeringDuration: July 2016 - August 2016
Deep learning based artificial intelligence methods for fault detection in high speed railway applications
People
| Name | Telephone | Office | ||
|---|---|---|---|---|
|
Professor Hongying Meng Professor (Principal investigator)
T: +44 (0)1895 265496
E: hongying.meng@brunel.ac.uk |
+44 (0)1895 265496 | hongying.meng@brunel.ac.uk | Howell Building 233 |
Outputs
Wang, T., Qin, R., Meng, H., Li, M., Cheng, M. and Liu, Y. (2022) 'Frequency Domain Feature Extraction and Long Short-Term Memory for Rolling Bearing Fault Diagnosis'.2022 International Conference on Machine Learning, Control, and Robotics (MLCR). Suzhou, China. 29 - 31 October. IEEE. pp. 72 - 77.Open Access Link
Fan, Z., Rudlin, J., Asfis, G. and Meng, H. (2019) 'Convolution of Barker and Golay Codes for Low Voltage Ultrasonic Testing'. Technologies, 7 (4). pp. 72 - 87. ISSN: 2227-7080 Open Access Link