Wangpeng He
Cited by
Cited by
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
The system can't perform the operation now. Try again later.
Articles 1–20