Second-Order Multisynchrosqueezing Wavelet Transform for Bearing Fault Detection
Author:
Publisher
Springer Science and Business Media LLC
Subject
Microbiology (medical),Immunology,Immunology and Allergy
Link
https://link.springer.com/content/pdf/10.1007/s42417-022-00466-3.pdf
Reference50 articles.
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2. Sharma V, Raghuwanshi NK, Jain AK (2021) Sensitive sub-band selection criteria for empirical wavelet transform to detect bearing fault based on vibration signals. J Vib Eng Technol 9:1603–1617
3. Wang M, Chen Y, Zhang X et al (2021) Roller bearing fault diagnosis based on integrated fault feature and SVM. J Vib Eng Technol. https://doi.org/10.1007/s42417-021-00414-7
4. Feng Z, Ma H, Zuo M (2016) Vibration signal models for fault diagnosis of planet bearings. J Sound Vib 370:372–393
5. Cui L, Zhang Y, Zhang F (2016) Vibration response mechanism of faulty outer race rolling element bearings for quantitative analysis. J Sound Vib 364:67–76
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