| A review of stochastic resonance in rotating machine fault detection S Lu, Q He, J Wang Mechanical Systems and Signal Processing 116, 230-260, 2019 | 340 | 2019 |
| Intelligent fault diagnosis of machinery using digital twin-assisted deep transfer learning M Xia, H Shao, D Williams, S Lu, L Shu, CW de Silva Reliability Engineering & System Safety 215, 107938, 2021 | 258 | 2021 |
| Tacholess Speed Estimation in Order Tracking: A Review With Application to Rotating Machine Fault Diagnosis S Lu, R Yan, Y Liu, Q Wang IEEE Transactions on Instrumentation and Measurement 68, 2315-2332, 2019 | 202 | 2019 |
| Highly efficient fault diagnosis of rotating machinery under time-varying speeds using LSISMM and small infrared thermal images X Li, H Shao, S Lu, J Xiang, B Cai IEEE Transactions on Systems, Man, and Cybernetics: Systems 52 (12), 7328-7340, 2022 | 159 | 2022 |
| Effects of underdamped step-varying second-order stochastic resonance for weak signal detection S Lu, Q He, F Kong Digital Signal Processing 36 (2015), 93-103, 2015 | 132 | 2015 |
| Stochastic resonance with Woods–Saxon potential for rolling element bearing fault diagnosis S Lu, Q He, F Kong Mechanical Systems and Signal Processing 45 (2), 488-503, 2014 | 114 | 2014 |
| Edge computing on IoT for machine signal processing and fault diagnosis: A review S Lu, J Lu, K An, X Wang, Q He IEEE Internet of Things Journal 10 (13), 11093-11116, 2023 | 111 | 2023 |
| Fault diagnosis of motor bearing with speed fluctuation via angular resampling of transient sound signals S Lu, X Wang, Q He, F Liu, Y Liu Journal of Sound and Vibration 385, 16-32, 2016 | 110 | 2016 |
| Sequential Multiscale Noise Tuning Stochastic Resonance for Train Bearing Fault Diagnosis in an Embedded System S Lu, Q He, F Hu, F Kong IEEE Transactions on Instrumentation and Measurement 63 (1), 106-116, 2014 | 99 | 2014 |
| Online Fault Diagnosis of Motor Bearing via Stochastic–Resonance-based Adaptive Filter in an Embedded System S Lu, Q He, T Yuan, F Kong IEEE Transactions on Systems, Man and Cybernetics: Systems 47 (7), 1111-1122, 2017 | 98 | 2017 |
| Bearing fault diagnosis of a permanent magnet synchronous motor via a fast and online order analysis method in an embedded system S Lu, Q He, J Zhao Mechanical Systems and Signal Processing 113, 36-49, 2018 | 97 | 2018 |
| Condition monitoring and fault diagnosis of motor bearings using undersampled vibration signals from a wireless sensor network S Lu, P Zhou, X Wang, Y Liu, F Liu, J Zhao Journal of Sound and Vibration 414, 81-96, 2018 | 95 | 2018 |
| Sound-aided vibration weak signal enhancement for bearing fault detection by using adaptive stochastic resonance S Lu, P Zheng, Y Liu, Z Cao, H Yang, Q Wang Journal of Sound and Vibration 449, 18-29, 2019 | 86 | 2019 |
| Rotating machine fault diagnosis through enhanced stochastic resonance by full-wave signal construction S Lu, Q He, H Zhang, F Kong Mechanical Systems and Signal Processing 85, 82-97, 2017 | 86 | 2017 |
| Optimal Design of Permanent Magnet Linear Synchronous Motors Based on Taguchi Method J Song, F Dong, J Zhao, S Lu, S Dou, H Wang IET Electric Power Applications 11, 41-48, 2017 | 84 | 2017 |
| Edge Computing: A Promising Framework for Real-Time Fault Diagnosis and Dynamic Control of Rotating Machines Using Multi-Sensor Data G Qian, S Lu, D Pan, H Tang, Y Liu, Q Wang IEEE Sensors Journal 19, 4211-4220, 2019 | 81 | 2019 |
| Insitu Motor Fault Diagnosis Using Enhanced Convolutional Neural Network in an Embedded System S Lu, G Qian, Q He, F Liu, Y Liu, Q Wang IEEE Sensors Journal 20 (15), 8287-8296, 2020 | 76 | 2020 |
| Enhanced Rotating Machine Fault Diagnosis Based on Time-Delayed Feedback Stochastic Resonance S Lu, Q He, H Zhang, F Kong Journal of Vibration and Acoustics, Transactions of the ASME 137 (5), 051008, 2015 | 70 | 2015 |
| Efficient data reduction at the edge of industrial Internet of Things for PMSM bearing fault diagnosis X Wang, S Lu, W Huang, Q Wang, S Zhang, M Xia IEEE Transactions on Instrumentation and Measurement 70, 1-12, 2021 | 69 | 2021 |
| Time-varying singular value decomposition for periodic transient identification in bearing fault diagnosis S Zhang, S Lu, Q He, F Kong Journal of Sound and Vibration 379, 216-231, 2016 | 69 | 2016 |
Qingbo HeUSTC，SJTUVerified email at sjtu.edu.cn
