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Communication Dans Un Congrès Année : 2022

Improvement of spectral indicators for intermittent cyclic signals with application to bearing faults for wind turbine monitoring

Adrien Marsick
Hugo André
Ilyes Khelf
  • Fonction : Auteur
Jérôme Antoni

Résumé

Spectral indicators for the monitoring of rotating machinery assume continuously and steadily observable cyclic fault signature. Specific types of faulty ball bearings generate intermittent fault signature and are improperly monitored by classical techniques. A model of intermittent cyclic signal is built. Based on the intermittence function, an improved spectral indicator is proposed. A method of blind estimation of the intermittence function is given with application to the surveillance of a damaged ball bearing of an industrial wind turbine.
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Dates et versions

hal-04018664 , version 1 (29-03-2023)

Identifiants

  • HAL Id : hal-04018664 , version 1

Citer

Adrien Marsick, Hugo André, Ilyes Khelf, Quentin Leclere, Jérôme Antoni. Improvement of spectral indicators for intermittent cyclic signals with application to bearing faults for wind turbine monitoring. ISMA 2022, 2022, Leuven (BE), Belgium. ⟨hal-04018664⟩
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