Rolling Element Bearing Fault Diagnosis Using an Integrated Approach Incorporating Teager–Kaiser Energy Operator and Singular Spectrum Analysis
Author:
Publisher
Springer Science and Business Media LLC
Subject
Microbiology (medical),Immunology,Immunology and Allergy
Link
https://link.springer.com/content/pdf/10.1007/s42417-022-00787-3.pdf
Reference36 articles.
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2. Zhao M, Jia X (2017) A novel strategy for signal denoising using reweighted SVD and its applications to weak fault feature enhancement of rotating machinery. Mech Syst Signal Process 94:129–147. https://doi.org/10.1016/j.ymssp.2017.02.036
3. Randall RB (2011) Vibration-based condition monitoring. John Wiley and Sons, New Jersey, USA
4. Mcfadden PD, Smith JD (1984) Vibration monitoring of rolling element bearings by the high- frequency resonance technique a review. Tribol Int 17(1):3–10. https://doi.org/10.1016/0301-679X(84)90076-8
5. Antoni J (2006) The spectral kurtosis: a useful tool for characterising non-stationary signals. Mech Syst Signal Process 20(2):282–307. https://doi.org/10.1016/j.ymssp.2004.09.001
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