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xingwu zhang
xingwu zhang
Instructor of Mechanical Engineering, Xi'an Jiaotong University
Verified email at mail.xjtu.edu.cn - Homepage
Title
Cited by
Cited by
Year
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
7392016
A sparse auto-encoder-based deep neural network approach for induction motor faults classification
XC Wenjun Sun, Siyu Shao, Rui Zhao, Ruqiang Yan, Xingwu Zhang
Measurement 89, 171-178, 2016
7392016
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
2862017
Matching synchrosqueezing transform: A useful tool for characterizing signals with fast varying instantaneous frequency and application to machine fault diagnosis
S Wang, X Chen, IW Selesnick, Y Guo, C Tong, X Zhang
Mechanical Systems and Signal Processing 100, 242-288, 2018
1502018
Sparse regularization for force identification using dictionaries
B Qiao, X Zhang, C Wang, H Zhang, X Chen
Journal of Sound and Vibration 368, 71-86, 2016
1352016
Sparse regularization for force identification using dictionaries
Baijie Qiao, Xingwu Zhang, Chenxi Wang, Hang Zhang, Xuefeng Chen
Journal of Sound and Vibration 368 (28), 71-86, 2016
1352016
Sparse deconvolution for the large-scale ill-posed inverse problem of impact force reconstruction
B Qiao, X Zhang, J Gao, R Liu, X Chen
Mechanical Systems and Signal Processing 83, 93-115, 2017
1152017
Sparse deconvolution for the large-scale ill-posed inverse problem of impact force reconstruction
Baijie Qiao, Xingwu Zhang, Jiawei Gao, Ruonan Liu, Xuefeng Chen
Mechanical Systems and Signal Processing 83, 93-115, 2017
1152017
Chatter detection in milling process based on synchrosqueezing transform of sound signals
H Cao, Y Yue, X Chen, X Zhang
The International Journal of Advanced Manufacturing Technology 89 (9-12 …, 2017
1062017
Nonlinear squeezing time–frequency transform for weak signal detection
S Wang, X Chen, Y Wang, G Cai, B Ding, X Zhang
Signal Processing 113, 195-210, 2015
912015
Nonlinear squeezing time-frequency transform for weak signal detection
Shibin Wang, Xuefeng Chen, Yan Wang, GaiGai Cai, Baoqing Ding, Xingwu Zhang
Signal Processing 113, 195-210, 2015
912015
Impact-force sparse reconstruction from highly incomplete and inaccurate measurements
Baijie Qiao, Xingwu Zhang, Jiawei Gao, Xuefeng Chen
Journal of Sound and Vibration 376, 72-94, 2016
892016
A force identification method using cubic B-spline scaling functions
B Qiao, X Zhang, X Luo, X Chen
Journal of Sound and Vibration 337, 28-44, 2015
802015
A force identification method using cubic B-spline scaling functions
Baijie Qiao, Xingwu Zhang, Xinjie Luo, Xuefeng Chen
Journal of Sound and Vibration 337, 28-44, 2015
802015
Stiffness variation method for milling chatter suppression via piezoelectric stack actuators
C Wang, X Zhang, Y Liu, H Cao, X Chen
International Journal of Machine Tools and Manufacture 124, 53-66, 2018
782018
Early chatter detection in end milling based on multi-feature fusion and 3σ criterion
H Cao, K Zhou, X Chen, X Zhang
The International Journal of Advanced Manufacturing Technology 92 (9-12 …, 2017
732017
Free vibration and buckling analysis of plates using B-spline wavelet on the interval Mindlin element
Z Yang, X Chen, X Zhang, Z He
Applied Mathematical Modelling 37 (5), 3449-3466, 2013
732013
Free vibration and buckling analysis of plates using B-spline wavelet on the interval Mindlin element
Zhibo Yang, Xuefeng Chen, Xingwu Zhang, Zhengjia He
Applied Mathematical Modlling 37, 3449-3466, 2013
73*2013
Conditional Adversarial Domain Adaptation With Discrimination Embedding for Locomotive Fault Diagnosis
X Yu, Z Zhao, X Zhang, C Sun, B Gong, R Yan, X Chen
IEEE Transactions on Instrumentation and Measurement 70, 1-12, 2020
712020
Multivariable wavelet finite element-based vibration model for quantitative crack identification by using particle swarm optimization
X Zhang, RX Gao, R Yan, X Chen, C Sun, Z Yang
Journal of Sound and Vibration 375, 200-216, 2016
702016
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