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A New Incremental Learning for Bearing Fault Diagnosis Under Noisy Conditions Using Classification and Feature-Level Information.

J. Zhu, Y. Wang, C. Huang, C. Shen, and B. Chen. IEEE Trans. Instrum. Meas., (2024)

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Changqing Zhao

Changqing Chen

Qi Changqing

Changqing Qi

Shen Zhang

Other publications of authors with the same name

Instantaneous Frequency Synchronized Generalized Stepwise Demodulation Transform for Bearing Fault Diagnosis.J. Shi, Z. Hua, W. Huang, P. Dumond, C. Shen, and Z. Zhu. IEEE Trans. Instrum. Meas., (2022)A New Adversarial Domain Generalization Network Based on Class Boundary Feature Detection for Bearing Fault Diagnosis.J. Li, C. Shen, L. Kong, D. Wang, M. Xia, and Z. Zhu. IEEE Trans. Instrum. Meas., (2022)Cross-Supervised multisource prototypical network: A novel domain adaptation method for multi-source few-shot fault diagnosis.X. Zhang, W. Huang, C. Ding, J. Wang, C. Shen, and J. Shi. Adv. Eng. Informatics, (2024)Lifelong Learning for Bearing Fault Diagnosis with Incremental Fault Types.B. Chen, C. Ding, X. Jiang, J. Shi, W. Huang, and C. Shen. ICPHM, page 114-120. IEEE, (2022)Discovery of a Simplified Index Commonly Used in Various Algorithms for Quantification of Repetitive Transients.D. Wang, and C. Shen. AIM, page 863-867. IEEE, (2019)Reserving embedding space for new fault types: A new continual learning method for bearing fault diagnosis.H. Zhu, C. Shen, L. Li, D. Wang, W. Huang, and Z. Zhu. Reliab. Eng. Syst. Saf., (2024)Editorial for Special Issue: Machine Health Monitoring and Fault Diagnosis Techniques.S. Sun, C. Shen, and D. Wang. Sensors, 23 (7): 3493 (April 2023)Extended Noise Resistant Correlation Method for Period Estimation of Pseudoperiodic Signals.Y. Li, H. Zhao, W. Fan, and C. Shen. IEEE Trans. Instrum. Meas., (2021)Generalized Autocorrelation Method for Fault Detection Under Varying-Speed Working Conditions.Y. Li, H. Zhao, W. Fan, and C. Shen. IEEE Trans. Instrum. Meas., (2021)Cross-domain augmentation diagnosis: An adversarial domain-augmented generalization method for fault diagnosis under unseen working conditions.Q. Li, L. Chen, L. Kong, D. Wang, M. Xia, and C. Shen. Reliab. Eng. Syst. Saf., (June 2023)

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Disambiguation of "Shen, Changqing"

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URL
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A New Incremental Learning for Bearing Fault Diagnosis Under Noisy Conditions Using Classification and Feature-Level Information.

Please choose a person to relate this publication to

Changqing Zhao

Changqing Chen

Qi Changqing

Changqing Qi

Shen Zhang

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Shen, Changqing"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML A New Incremental Learning for Bearing Fault Diagnosis Under Noisy Conditions Using Classification and Feature-Level Information.

Please choose a person to relate this publication to

Changqing Zhao

Changqing Chen

Qi Changqing

Changqing Qi

Shen Zhang

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

A New Incremental Learning for Bearing Fault Diagnosis Under Noisy Conditions Using Classification and Feature-Level Information.