Fault Detection in Complex Mechanical Systems Using Wavelet Transforms and Autoregressive Coefficients
Author:
Publisher
Springer Singapore
Link
http://link.springer.com/content/pdf/10.1007/978-981-15-4619-8_45
Reference25 articles.
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3. Rodriguez, P.H., Alonso, J.B., Ferrer, M.A., Travieso, C.M.: Application of the teager-kaiser energy operator in bearing fault diagnosis. ISA Trans. 52, 278–284 (2013)
4. Paliwal, D., Choudhury, A., Tingarikar, G.: Wavelet and scalar indicator based fault assessment approach for rolling element bearings. Proced. Mater. Sci. 5, 2347–2355 (2014)
5. Dron, J., Bolaers, F., et al.: Improvement of the sensitivity of the scalar indicators (crest factor, kurtosis) using a de-noising method by spectral subtraction: application to the detection of defects in ball bearings. J. Sound Vib. 270, 61–73 (2004)
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