Gaigai Cai
Gaigai Cai
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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), 69-84, 2014
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 (1-2), 34-53, 2013
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
An automatic and robust features learning method for rotating machinery fault diagnosis based on contractive autoencoder
C Shen, Y Qi, J Wang, G Cai, Z Zhu
Engineering Applications of Artificial Intelligence 76, 170-184, 2018
Sparse representation of transients in wavelet basis and its application in gearbox fault feature extraction
W Fan, G Cai, ZK Zhu, C Shen, W Huang, L Shang
Mechanical Systems and Signal Processing 56, 230-245, 2015
A demodulating approach based on local mean decomposition and its applications in mechanical fault diagnosis
B Chen, Z He, X Chen, H Cao, G Cai, Y Zi
Measurement Science and Technology 22 (5), 055704, 2011
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
Sparsity-enhanced signal decomposition via generalized minimax-concave penalty for gearbox fault diagnosis
G Cai, IW Selesnick, S Wang, W Dai, Z Zhu
Journal of Sound and Vibration 432, 213-234, 2018
Transient signal analysis based on Levenberg–Marquardt method for fault feature extraction of rotating machines
S Wang, G Cai, Z Zhu, W Huang, X Zhang
Mechanical Systems and Signal Processing 54, 16-40, 2015
Dual-enhanced sparse decomposition for wind turbine gearbox fault diagnosis
L Wang, G Cai, J Wang, X Jiang, Z Zhu
IEEE Transactions on Instrumentation and Measurement 68 (2), 450-461, 2018
Synthesis versus analysis priors via generalized minimax-concave penalty for sparsity-assisted machinery fault diagnosis
S Wang, IW Selesnick, G Cai, B Ding, X Chen
Mechanical systems and signal processing 127, 202-233, 2019
Transients extraction based on averaged random orthogonal matching pursuit algorithm for machinery fault diagnosis
L Wang, G Cai, W You, W Huang, Z Zhu
IEEE Transactions on Instrumentation and Measurement 66 (12), 3237-3248, 2017
Reweighted generalized minimax-concave sparse regularization and application in machinery fault diagnosis
G Cai, S Wang, X Chen, J Ye, IW Selesnick
ISA transactions 105, 320-334, 2020
Logistic 回归模型在机床刀具可靠性评估中的应用
陈保家, 陈雪峰, 李兵, 曹宏瑞, 蔡改改, 何正嘉
机械工程学报 47 (18), 158-164, 2011
Operation reliability assessment for cutting tools by applying a proportional covariate model to condition monitoring information
G Cai, X Chen, B Li, B Chen, Z He
Sensors 12 (10), 12964-12987, 2012
Condition assessment for automatic tool changer based on sparsity-enabled signal decomposition method
X Chen, G Cai, H Cao, W Xin
Mechatronics 31, 50-59, 2015
Vector minimax concave penalty for sparse representation
S Wang, X Chen, W Dai, IW Selesnick, G Cai, B Cowen
Digital signal processing 83, 165-179, 2018
A parameterized Doppler distorted matching model for periodic fault identification in locomotive bearing
C Shen, G Cai, Z He, W Huang, Z Zhu
Proceedings of the Institution of Mechanical Engineers, Part C: Journal of …, 2016
Sparse Representation of Transients Based on Wavelet Basis and Majorization‐Minimization Algorithm for Machinery Fault Diagnosis
W Fan, G Cai, W Huang, L Shang, Z Zhu
Mathematical Problems in Engineering 2014 (1), 696051, 2014
蔡改改, 陈雪峰, 陈保家, 李兵, 何正嘉
西安交通大学学报 46 (1), 108-113, 2012
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