| 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 | 377 | 2020 |
| 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 | 198 | 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 | 196 | 2018 |
| Entropy Measures in Machine Fault Diagnosis: Insights and Applications Z Huo, M Martínez-García, Y Zhang, R Yan, L Shu IEEE Transactions on Instrumentation & Measurement, 2020 | 143 | 2020 |
| 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 | 79 | 2015 |
| Internet of Things for noise mapping in smart cities: state-of-the-art and future directions Y Liu, X Ma, L Shu, Q Yang, Y Zhang, Z Huo, Z Zhou IEEE Network, 2020 | 74 | 2020 |
| 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 | 73 | 2019 |
| Fault diagnosis of a rotor-bearing system under variable rotating speeds using two-stage parameter transfer and infrared thermal images H Shao, W Li, M Xia, Y Zhang, C Shen, D Williams, A Kennedy, ... IEEE Transactions on Instrumentation and Measurement 70, 2021 | 63 | 2021 |
| Deep Recurrent Entropy Adaptive Model for System Reliability Monitoring M Martinez-Garcia, Y Zhang, K Suzuki, YD Zhang IEEE Transactions on Industrial Informatics, 2020 | 61 | 2020 |
| 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 | 60 | 2014 |
| Memory pattern identification for feedback tracking control in human–machine systems M Martínez-García, Y Zhang, T Gordon Human factors 63 (2), 210-226, 2021 | 55 | 2021 |
| A Multi-sensor Information Fusion Method for High Reliability Fault Diagnosis of Rotating Machinery Z Huo, M Martinez Garcia, Y Zhang, L Shu IEEE Transactions on Instrumentation and Measurement, 2021 | 50 | 2021 |
| 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 | 47 | 2016 |
| 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 | 44 | 2019 |
| 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 | 41 | 2017 |
| Acoustic-based UAV detection using late fusion of deep neural networks P Casabianca, Y Zhang Drones 5 (3), 54, 2021 | 40 | 2021 |
| 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 | 40 | 2016 |
| On Enabling Mobile Crowd Sensing for Data Collection in Smart Agriculture: A Vision Y Sun, W Ding, L Shu, K Li, Y Zhang, Z Zhou, G Han IEEE Systems Journal, 2021 | 39 | 2021 |
| 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 | 39 | 2017 |
| Dynamic modeling and vibration analysis of double row cylindrical roller bearings with irregular-shaped defects X Li, J Liu, S Ding, Y Xu, Y Zhang, M Xia Nonlinear Dynamics 112, 2501-2521, 2023 | 38 | 2023 |
Lei Shu (舒磊)Professor, Nanjing Agricultural University, China and Lincoln Professor, University of Lincoln, UK在 njau.edu.cn 的电子邮件经过验证
