A New Rolling Bearing Work Condition Monitoring Method Based on Back Propagation Network
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-65123-6_3
Reference29 articles.
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2. Wu, G., Yan, T., Yang, G., Chai, H., Cao, C.: A review on rolling bearing fault signal detection methods based on different sensors. Sensors 22(21), 8330 (2022)
3. McFadden, P.D., Smith, J.D.: Model for the vibration produced by a signal point defect in a rolling element bearing. J. Sound Vib. 96(1), 69–82 (1984)
4. Jiang, Z., Zhang, K., Xiang, L., Yu, G., Xu, Y.: A time-frequency spectral amplitude modulation method and its applications in rolling bearing fault diagnosis. Mech. Syst. Signal Process. 185, 109832 (2023)
5. Zhao, S., Liang, L., Xu, G., Wang, J., Zhang, W.: Quantitative diagnosis of a spall-like fault of a rolling element bearing by empirical mode decomposition and the approximate entropy method. Mech. Syst. Signal Process. 40(1), 154–177 (2013)
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