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Multi-Bandwidth Mode Manifold for Fault Diagnosis of Rolling Bearings.

T. Jiang, J. Wang, C. Shen, X. Jiang, and Z. Zhu. IEEE Access, (2019)

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Dr. Shaoxiang Sheng University of Stuttgart

Other publications of authors with the same name

Multi-Bandwidth Mode Manifold for Fault Diagnosis of Rolling Bearings.T. Jiang, J. Wang, C. Shen, X. Jiang, and Z. Zhu. IEEE Access, (2019)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)Fault Diagnosis of a Rotor-Bearing System Under Variable Rotating Speeds Using Two-Stage Parameter Transfer and Infrared Thermal Images.H. Shao, W. Li, M. Xia, Y. Zhang, C. Shen, D. Williams, A. Kennedy, and C. de Silva. IEEE Trans. Instrum. Meas., (2021)Adaptive deep feature learning network with Nesterov momentum and its application to rotating machinery fault diagnosis.S. Tang, C. Shen, D. Wang, S. Li, W. Huang, and Z. Zhu. Neurocomputing, (2018)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)Fault Feature Extractor Based on Bootstrap Your Own Latent and Data Augmentation Algorithm for Unlabeled Vibration Signals.T. Peng, C. Shen, S. Sun, and D. Wang. IEEE Trans. Ind. Electron., 69 (9): 9547-9555 (2022)An End-to-End Model Based on Improved Adaptive Deep Belief Network and Its Application to Bearing Fault Diagnosis.J. Xie, G. Du, C. Shen, N. Chen, L. Chen, and Z. Zhu. IEEE Access, (2018)Adaptive Morphological Feature Extraction and Support Vector Regressive Classification for Gearbox Fault Diagnosis.Y. Qi, C. Shen, J. Shi, W. Huang, and Z. Zhu. AIM, page 868-872. IEEE, (2019)Dual-Guidance-Based Optimal Resonant Frequency Band Selection and Multiple Ridge Path Identification for Bearing Fault Diagnosis Under Time-Varying Speeds.J. Shi, W. Huang, C. Shen, X. Jiang, and Z. Zhu. IEEE Access, (2019)Stacked Sparse Autoencoder-Based Deep Network for Fault Diagnosis of Rotating Machinery.Y. Qi, C. Shen, D. Wang, J. Shi, X. Jiang, and Z. Zhu. IEEE Access, (2017)

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Disambiguation of "Shen, Changqing"

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Multi-Bandwidth Mode Manifold for Fault Diagnosis of Rolling Bearings.

Please choose a person to relate this publication to

Dr. Shaoxiang Sheng University of Stuttgart

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PUMA

Disambiguation of "Shen, Changqing"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Multi-Bandwidth Mode Manifold for Fault Diagnosis of Rolling Bearings.

Please choose a person to relate this publication to

Dr. Shaoxiang Sheng University of Stuttgart

Other publications of authors with the same name

Disambiguation

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Multi-Bandwidth Mode Manifold for Fault Diagnosis of Rolling Bearings.