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Sparse representation of gearbox compound fault features by combining Majorization-Minimization algorithm and wavelet bases.

C. Luo, C. Shen, W. You, W. Huang, G. Cai, and Z. Zhu. I2MTC, page 1-5. IEEE, (2016)

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Dual-Enhanced Sparse Decomposition for Wind Turbine Gearbox Fault Diagnosis.L. Wang, G. Cai, J. Wang, X. Jiang, and Z. Zhu. IEEE Trans. Instrumentation and Measurement, 68 (2): 450-461 (2019)Feature enhancement via balanced non-convex regularization for rotary machine fault diagnosis.L. Wang, G. Cai, Z. Zhu, and W. Huang. I2MTC, page 1-6. IEEE, (2018)Vector minimax concave penalty for sparse representation.S. Wang, X. Chen, W. Dai, I. Selesnick, G. Cai, and B. Cowen. Digital Signal Processing, (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, and Z. Zhu. Eng. Appl. of AI, (2018)Matching Demodulation Transform and SynchroSqueezing in Time-Frequency Analysis.S. Wang, X. Chen, G. Cai, B. Chen, X. Li, and Z. He. IEEE Trans. Signal Processing, 62 (1): 69-84 (2014)Nonlinear squeezing time-frequency transform for weak signal detection.S. Wang, X. Chen, Y. Wang, G. Cai, B. Ding, and X. Zhang. Signal Processing, (2015)Sparse representation of gearbox compound fault features by combining Majorization-Minimization algorithm and wavelet bases.C. Luo, C. Shen, W. You, W. Huang, G. Cai, and Z. Zhu. I2MTC, page 1-5. IEEE, (2016)Sparsity-enabled signal transient feature extraction using wavelet basis and constrained optimization algorithm.W. Fan, G. Cai, W. Huang, and Z. Zhu. ChinaSIP, page 781-784. IEEE, (2014)Operation Reliability Assessment for Cutting Tools by Applying a Proportional Covariate Model to Condition Monitoring Information.G. Cai, X. Chen, B. Li, B. Chen, and Z. He. Sensors, 12 (10): 12964-12987 (2012)The Research of the Transient Feature Extraction by Resonance-Based Method Using Double-TQWT.W. Xiang, G. Cai, W. Fan, W. Huang, L. Shang, and Z. Zhu. ICIC (1), volume 8588 of Lecture Notes in Computer Science, page 684-692. Springer, (2014)

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Sparse representation of gearbox compound fault features by combining Majorization-Minimization algorithm and wavelet bases.

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Sparse representation of gearbox compound fault features by combining Majorization-Minimization algorithm and wavelet bases.

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Sparse representation of gearbox compound fault features by combining Majorization-Minimization algorithm and wavelet bases.