Yu (Eve) Zhang
Yu (Eve) Zhang
Senior Lecturer, Loughborough University
Verified email at lboro.ac.uk - Homepage
Cited by
Cited by
Incipient Fault Diagnosis of Roller Bearing using Optimized Wavelet Transform based Multi-speed Vibration Signatures
Z Huo, Y Zhang, P Francq, L Shu, J Huang
IEEE Access, 2017
A Survey on Fault Diagnosis in Wireless Sensor Networks
Z Zhang, A Mehmood, L Shu, Z Huo, Y Zhang, M Mukherjee
IEEE Access 6, 11349 - 11364, 2018
Machine Fault Detection by Signal Denoising—with Application to Industrial Gas Turbines
Y Zhang, C Bingham, Z Yang, WK Ling, M Gallimore
Measurement 58, 230–240, 2014
Understanding laser beam brightness: a review and new prospective in material processing
P Shukla, J Lawrence, Y Zhang
Optics & Laser Technology 75, 40-51, 2015
Modelling Lane Keeping by a Hybrid Open-closed-loop Pulse Control Scheme
M Martinez-Garcia, Y Zhang, T Gordon
IEEE Transactions on Industrial Informatics 12 (6), 2256 - 2265, 2016
A New Bearing Fault Diagnosis Method based on Fine-to-Coarse Multiscale Permutation Entropy, Laplacian Score and SVM.
Z Huo, Y Zhang, L Shu, M Gallimore
IEEE Access 7, 17050-17066, 2019
Fault Detection and Diagnosis Based on Extensions of PCA
Y Zhang, C Bingham, M Gallimore
Advances in Military Technology 8 (2), 27-41, 2013
Memory pattern identification for feedback tracking control in human–machine systems
M Martínez-García, Y Zhang, T Gordon
Human factors, 0018720819881008, 2019
An experimental study of clogging fault diagnosis in heat exchangers based on vibration signals
J Huang, G Chen, L Shu, S Wang, Y Zhang
Ieee Access 4, 1800-1809, 2016
Development and realisation of changepoint analysis for the detection of emerging faults on industrial systems.
S Maleki, C Bingham, Y Zhang
IEEE Transactions on Industrial Informatics 12 (3), 1180-1187, 2016
Applied Fault Detection and Diagnosis for Industrial Gas Turbine Systems
Y Zhang, C Bingham, M Garlick, M Gallimore
International Journal of Automation and Computing 14 (4), 463-473, 2017
Self-adaptive fault diagnosis of roller bearings using infrared thermal images
Z Huo, Y Zhang, R Sath, L Shu
43rd Annual Conference of the IEEE Industrial Electronics Society (IECON 2017), 2017
Roller element bearing acoustic fault detection using smartphone and consumer microphones comparing with vibration techniques
J Grebenik, Y Zhang, C Bingham, S Srivastava
Mechatronics - Mechatronika (ME), 2016 17th International Conference on, 2016
A new adaptive Mamdani-type fuzzy modeling strategy for industrial gas turbines
Y Zhang, J Chen, C Bingham, M Mahfouf
Fuzzy Systems (FUZZ-IEEE), 2014 IEEE International Conference on, 2014
Detection of Emerging Faults on Industrial Gas Turbines Using Extended Gaussian Mixture Models
Y Zhang, C Bingham, M Martinez-Garcia, D Cox
International Journal of Rotating Machinery 2017, 9, 2017
Intelligent fault diagnosis of rotor-bearing system under varying working conditions with modified transfer CNN and thermal images
H Shao, M Xia, G Han, Y Zhang, J Wan
IEEE Transactions on Industrial Informatics, 2020
Measuring System Entropy with a Deep Recurrent Neural Network Model
M Martínez-García, Y Zhang, K Suzuki, Y Zhang
2019 IEEE 17th International Conference on Industrial Informatics (INDIN), 2019
Sensor fault detection for industrial gas turbine system by using principal component analysis based y-distance indexes
Y Zhang, C Bingham, Z Yang, M Gallimore, WK Ling
Communication Systems, Networks & Digital Signal Processing (CSNDSP), 2012 …, 2012
Visually Interpretable Profile Extraction with an Autoencoder for Health Monitoring of Industrial Systems
M Martínez-García, Y Zhang, J Wan, J McGinty
2019 IEEE 4th International Conference on Advanced Robotics and Mechatronics …, 2019
Selecting Optimal Features for Cross-Fleet Analysis and Fault Diagnosis of Industrial Gas Turbines
Y Zhang, M Martinez-Garcia, A Latimer
ASME Turbo Expo 2018: Turbomachinery Technical Conference and Exposition, 2018
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