| Permutation entropy: A nonlinear statistical measure for status characterization of rotary machines R Yan, Y Liu, RX Gao Mechanical Systems and Signal Processing 29, 474-484, 2012 | 431 | 2012 |
| 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 (7), 2315-2332, 2019 | 221 | 2019 |
| Multiscale noise tuning of stochastic resonance for enhanced fault diagnosis in rotating machines Q He, J Wang, Y Liu, D Dai, F Kong Mechanical Systems and Signal Processing 28, 443-457, 2012 | 149 | 2012 |
| 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 | 114 | 2016 |
| Time-frequency manifold as a signature for machine health diagnosis Q He, Y Liu, Q Long, J Wang IEEE Transactions on Instrumentation and Measurement 61 (5), 1218-1230, 2012 | 99 | 2012 |
| 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 | 96 | 2018 |
| Multiscale slope feature extraction for rotating machinery fault diagnosis using wavelet analysis P Li, F Kong, Q He, Y Liu Measurement 46 (1), 497-505, 2013 | 95 | 2013 |
| 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 | 90 | 2019 |
| 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 (11), 4211-4220, 2019 | 87 | 2019 |
| In Situ 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, 2019 | 82 | 2019 |
| Feature fusion using kernel joint approximate diagonalization of eigen-matrices for rolling bearing fault identification Y Liu, B He, F Liu, S Lu, Y Zhao Journal of Sound and Vibration 385, 389-401, 2016 | 67 | 2016 |
| Dual-microphone active noise cancellation paved with Doppler assimilation for TADS F Liu, X Zhao, Z Zhu, Z Zhai, Y Liu Mechanical Systems and Signal Processing 184, 109727, 2023 | 66 | 2023 |
| Novel synthetic index-based adaptive stochastic resonance method and its application in bearing fault diagnosis P Zhou, S Lu, F Liu, Y Liu, G Li, J Zhao Journal of Sound and Vibration 391, 194-210, 2017 | 63 | 2017 |
| A novel contactless angular resampling method for motor bearing fault diagnosis under variable speed S Lu, J Guo, Q He, F Liu, Y Liu, J Zhao IEEE Transactions on Instrumentation and Measurement 65 (11), 2538-2550, 2016 | 61 | 2016 |
| IoT-based signal enhancement and compression method for efficient motor bearing fault diagnosis H Tang, S Lu, G Qian, J Ding, Y Liu, Q Wang IEEE Sensors Journal 21 (2), 1820-1828, 2020 | 58 | 2020 |
| Feature extraction using hierarchical dispersion entropy for rolling bearing fault diagnosis Q Xue, B Xu, C He, F Liu, B Ju, S Lu, Y Liu IEEE Transactions on Instrumentation and Measurement 70, 1-11, 2021 | 54 | 2021 |
| Design of ultrastable and high resolution eddy-current displacement sensor system H Wang, Y Liu, W Li, Z Feng IECON 2014-40th Annual Conference of the IEEE Industrial Electronics Society …, 2014 | 52 | 2014 |
| A two-step strategy for online fault detection of high-resistance connection in BLDC motor H Wang, S Lu, G Qian, J Ding, Y Liu, Q Wang IEEE Transactions on Power Electronics 35 (3), 3043-3053, 2019 | 51 | 2019 |
| Doppler effect reduction based on time-domain interpolation resampling for wayside acoustic defective bearing detector system F Liu, Q He, F Kong, Y Liu Mechanical Systems and Signal Processing 46 (2), 253-271, 2014 | 50 | 2014 |
| Recognition of rolling bearing fault patterns and sizes based on two-layer support vector regression machines C Shen, D Wang, Y Liu, F Kong, PW Tse Smart Structures and Systems 13 (3), 453-471, 2014 | 49 | 2014 |
Fang LiuDepartment of Mechanical Engineering, Anhui UniversityVerified email at ahu.edu.cn
