Faults Diagnosis of Rolling-Element Bearings Based on Fourier Decomposition Method and Teager Energy Operator
Author:
Publisher
Springer Science and Business Media LLC
Subject
Multidisciplinary
Link
https://link.springer.com/content/pdf/10.1007/s13369-022-07401-4.pdf
Reference23 articles.
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3. Rubini, R.; Meneghetti, U.: Application of the envelope and wavelet transform analyses for the diagnosis of incipient faults in ball bearings. Mech. Syst. Signal Process. 15(2), 287–302 (2001). https://doi.org/10.1006/mssp.2000.1330
4. Singh, P.; Joshi, S.D.; Patney, R.K.; Saha, K.: The Fourier decomposition method for nonlinear and non-stationary time series analysis. Proc. R. Soc. (2017). https://doi.org/10.1098/rspa.2016.0871
5. Vamsi, I.; Sabareesh, G.R.; Penumakala, P.K.: Comparison of condition monitoring techniques in assessing fault severity for a wind turbine gearbox under non-stationary loading. Mech. Syst. Signal Process. 124, 1–20 (2019). https://doi.org/10.1016/j.ymssp.2019.01.038
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