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Comparison of denoising methods for the early detection of fatigue bearing defects by vibratory analysis

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Publication:2846402
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DOI10.1177/1077546309348853zbMath1271.74131OpenAlexW2030644700MaRDI QIDQ2846402

P. Estocq, O. Cousinard, Xavier Chiementin, Jean-Paul Dron, Fabrice Bolaers

Publication date: 5 September 2013

Published in: Journal of Vibration and Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1177/1077546309348853


zbMATH Keywords

denoisingvibratory analysisrolling bearing


Mathematics Subject Classification ID

Vibrations in dynamical problems in solid mechanics (74H45) Fracture and damage (74R99)


Related Items (2)

Nonlinear output feedback control of a flexible link using adaptive neural network: stability analysis ⋮ Nonlinear output feedback control of a flexible link using adaptive neural network: controller design




Cites Work

  • Detection of rolling bearing defects using discrete wavelet analysis
  • Wavelets and their Applications
  • Method of De-Noising By Spectral Subtraction Applied to the Detection of Rolling Bearings Defects




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