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 | 322 | 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 | 226 | 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 | 187 | 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 | 141 | 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 | 129 | 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 | 112 | 2014 |
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 | 101 | 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 | 97 | 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 | 95 | 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 | 94 | 2018 |
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 | 85 | 2017 |
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 | 82 | 2019 |
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 | 80 | 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 | 72 | 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 | 71 | 2020 |
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 | 70 | 2023 |
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 | 67 | 2016 |
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 | 67 | 2015 |
A novel weak-fault detection technique for rolling element bearing based on vibrational resonance L Xiao, X Zhang, S Lu, T Xia, L Xi Journal of Sound and Vibration 438, 490-505, 2019 | 65 | 2019 |