Xuefeng Chen
Xuefeng Chen
Professor of Mechanical Engineering, Xi'an Jiaotong University
Geverifieerd e-mailadres voor mail.xjtu.edu.cn
Geciteerd door
Geciteerd door
Artificial intelligence for fault diagnosis of rotating machinery: A review
R Liu, B Yang, E Zio, X Chen
Mechanical Systems and Signal Processing 108, 33-47, 2018
Wavelets for Fault Diagnosis of Rotary Machines: A Review with Applications
R Yan, RX Gao, X Chen
Signal Processing 96, 1-15, 2014
A sparse auto-encoder-based deep neural network approach for induction motor faults classification
W Sun, S Shao, R Zhao, R Yan, X Zhang, X Chen
Measurement 89, 171-178, 2016
Deep Transfer Learning Based on Sparse Auto-encoder for Remaining Useful Life Prediction of Tool in Manufacturing
C Sun, M Ma, Z Zhao, S Tian, R Yan, X Chen
IEEE Transactions on Industrial Informatics, 2018
Dislocated time series convolutional neural architecture: An intelligent fault diagnosis approach for electric machine
R Liu, G Meng, B Yang, C Sun, X Chen
IEEE Transactions on Industrial Informatics 13 (3), 1310-1320, 2016
Multi-fault classification based on wavelet SVM with PSO algorithm to analyze vibration signals from rolling element bearings
Z Liu, H Cao, X Chen, Z He, Z Shen
Neurocomputing, 2012
Convolutional Discriminative Feature Learning for Induction Motor Fault Diagnosis
W Sun, R Zhao, R Yan, S Shao, X Chen
IEEE Transactions on Industrial Informatics 13 (3), 1350-1359, 2017
New clustering algorithm-based fault diagnosis using compensation distance evaluation technique
Y Lei, Z He, Y Zi, X Chen
Mechanical Systems and Signal Processing 22 (2), 419-435, 2008
The concept and progress of intelligent spindles: a review
H Cao, X Zhang, X Chen
International Journal of Machine Tools and Manufacture 112, 21-52, 2017
Mechanical model development of rolling bearing-rotor systems: A review
H Cao, L Niu, S Xi, X Chen
Mechanical Systems and Signal Processing 102, 37-58, 2018
Matching demodulation transform and synchrosqueezing in time-frequency analysis
S Wang, X Chen, G Cai, B Chen, X Li, Z He
IEEE Transactions on Signal Processing 62 (1), 169-84, 2014
Deep Coupling Autoencoder for Fault Diagnosis With Multimodal Sensory Data
M Ma, C Sun, X Chen
IEEE Transactions on Industrial Informatics 14 (3), 1137-1145, 2018
Study of frequency-shifted and re-scaling stochastic resonance and its application to fault diagnosis
J Tan, X Chen, J Wang, H Chen, H Cao, Y Zi, Z He
Mechanical systems and signal processing 23 (3), 811-822, 2009
The construction of wavelet finite element and its application
X Chen, S Yang, J Ma, Z He
Finite Elements in Analysis and Design 40 (5-6), 541-554, 2004
Sparsity-enabled signal decomposition using tunable Q-factor wavelet transform for fault feature extraction of gearbox
G Cai, X Chen, Z He
Mechanical Systems and Signal Processing 41 (1), 34-53, 2013
An ACO-based algorithm for parameter optimization of support vector machines
XL Zhang, XF Chen, ZJ He
Expert Systems with Applications 37 (9), 6618-6628, 2010
Fault diagnosis for a wind turbine generator bearing via sparse representation and shift-invariant K-SVD
B Yang, R Liu, X Chen
IEEE Transactions on Industrial Informatics 13 (3), 1321-1331, 2017
Nonconvex Sparse Regularization and Convex Optimization for Bearing Fault Diagnosis
S Wang, I Selesnick, G Cai, Y Feng, X Sui, X Chen
IEEE Transactions on Industrial Electronics 65 (9), 7332-7342, 2018
Compressed sensing based on dictionary learning for extracting impulse components
X Chen, Z Du, J Li, X Li, H Zhang
Signal Processing 96, 94–109, 2014
Sparse deep stacking network for fault diagnosis of motor
C Sun, M Ma, Z Zhao, X Chen
IEEE Transactions on Industrial Informatics 14 (7), 3261-3270, 2018
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