Automatic fault feature extraction of mechanical anomaly on induction motor bearing using ensemble super-wavelet transform W He, Y Zi, B Chen, F Wu, Z He Mechanical Systems and Signal Processing 54, 457-480, 2015 | 144 | 2015 |
An improved time-varying mesh stiffness algorithm and dynamic modeling of gear-rotor system with tooth root crack Z Wan, H Cao, Y Zi, W He, Z He Engineering Failure Analysis 42, 157-177, 2014 | 91 | 2014 |
Sparsity-based algorithm for detecting faults in rotating machines W He, Y Ding, Y Zi, IW Selesnick Mechanical Systems and Signal Processing 72, 46-64, 2016 | 90 | 2016 |
Mesh stiffness calculation using an accumulated integral potential energy method and dynamic analysis of helical gears Z Wan, H Cao, Y Zi, W He, Y Chen Mechanism and Machine Theory 92, 447-463, 2015 | 76 | 2015 |
Tunable Q-factor wavelet transform denoising with neighboring coefficients and its application to rotating machinery fault diagnosis WP He, YY Zi, BQ Chen, S Wang, ZJ He Science China Technological Sciences 56 (8), 1956-1965, 2013 | 61 | 2013 |
An intelligent gear fault diagnosis methodology using a complex wavelet enhanced convolutional neural network W Sun, B Yao, N Zeng, B Chen, Y He, X Cao, W He Materials 10 (7), 790, 2017 | 60 | 2017 |
ECG arrhythmia classification using STFT-based spectrogram and convolutional neural network J Huang, B Chen, B Yao, W He IEEE Access 7, 92871-92880, 2019 | 57 | 2019 |
Repetitive transients extraction algorithm for detecting bearing faults W He, Y Ding, Y Zi, IW Selesnick Mechanical Systems and Signal Processing 84, 227-244, 2017 | 47 | 2017 |
Detection of faults in rotating machinery using periodic time-frequency sparsity Y Ding, W He, B Chen, Y Zi, IW Selesnick Journal of Sound and Vibration 382, 357-378, 2016 | 45 | 2016 |
Combining translation-invariant wavelet frames and convolutional neural network for intelligent tool wear state identification XC Cao, BQ Chen, B Yao, WP He Computers in Industry 106, 71-84, 2019 | 40 | 2019 |
Sparsity-based signal extraction using dual Q-factors for gearbox fault detection W He, B Chen, N Zeng, Y Zi ISA transactions 79, 147-160, 2018 | 28 | 2018 |
An adaptive sparse deconvolution method for distinguishing the overlapping echoes of ultrasonic guided waves for pipeline crack inspection Y Chang, Y Zi, J Zhao, Z Yang, W He, H Sun Measurement Science and Technology 28 (3), 035002, 2017 | 25 | 2017 |
Tf-yolo: An improved incremental network for real-time object detection W He, Z Huang, Z Wei, C Li, B Guo Applied Sciences 9 (16), 3225, 2019 | 16 | 2019 |
Removal of power line interference from ECG signals using adaptive notch filters of sharp resolution B Chen, Y Li, X Cao, W Sun, W He IEEE Access 7, 150667-150676, 2019 | 13 | 2019 |
Improved ensemble superwavelet transform for vibration-based machinery fault diagnosis W He, Y Zi, Z Wan, B Chen Journal of Manufacturing Science and Engineering 138 (7), 2016 | 8 | 2016 |
Sparsity-assisted signal representation for rotating machinery fault diagnosis using the tunable Q-factor wavelet transform with overlapping group shrinkage W He, Y Zi 2014 International conference on wavelet analysis and pattern recognition, 18-23, 2014 | 8 | 2014 |
Simultaneous human health monitoring and time-frequency sparse representation using EEG and ECG signals W He, G Wang, J Hu, C Li, B Guo, F Li IEEE Access 7, 85985-85994, 2019 | 7 | 2019 |
O2O method for fast 2D shape retrieval Y Zheng, B Guo, Y Yan, W He IEEE Transactions on Image Processing 28 (11), 5366-5378, 2019 | 7 | 2019 |
Enhancement of fault vibration signature analysis for rotary machines using an improved wavelet-based periodic group-sparse signal estimation technique W He, B Chen, Y Zi Proceedings of the Institution of Mechanical Engineers, Part C: Journal of …, 2018 | 6 | 2018 |
A data-driven group-sparse feature extraction method for fault detection of wind turbine transmission system W He, B Guo, B Chen, J Ye, E Bechhoefer Measurement Science and Technology 31 (7), 074008, 2020 | 5 | 2020 |