Enhanced visual analysis of aircraft engines based on spectrograms

Julien Griffaton 1 José Picheral 2 Arthur Tenenhaus 2
1 SNECMA Villaroche [Moissy-Cramayel]
2 E3S - Supélec Sciences des Systèmes [Gif-sur-Yvette]
Abstract : Detection of damaged bearings in aircraft engines by visual analysis of vibration spectrograms has proven its efficiency. Enhancement of this visual analysis can be achieved by data processing of the spectrograms. The data processing flow presented in this paper is composed of three successive steps: i) individual statistical normalization of the wideband noise (background noise of the spectrogram), ii) elimination of 'sane' narrowband vibration using a determinist parametrical model, and iii) elimination of residual 'sane' vibration using a statistical model whose parameters have been estimated from a database of 'sane' engine. This 3-step procedure has been tested on a set of vibration data from aircraft engines and the results are discussed.
Type de document :
Communication dans un congrès
ISMA2014, Sep 2014, Leuven, Belgium. Proceedings of the 2014 Leuven Conference on Noise and Vibration Engineering, pp.2809-2822, 2014
Liste complète des métadonnées

Littérature citée [3 références]  Voir  Masquer  Télécharger
https://hal-supelec.archives-ouvertes.fr/hal-01103775
Contributeur : Alexandra Siebert <>
Soumis le : jeudi 15 janvier 2015 - 13:34:53
Dernière modification le : mardi 10 avril 2018 - 11:46:03
Document(s) archivé(s) le : jeudi 16 avril 2015 - 10:40:20

Fichier

ISMA_2014.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

  • HAL Id : hal-01103775, version 1

Collections

SUPELEC | SUP_SSE | SUP_E3S

Citation

Julien Griffaton, José Picheral, Arthur Tenenhaus. Enhanced visual analysis of aircraft engines based on spectrograms. ISMA2014, Sep 2014, Leuven, Belgium. Proceedings of the 2014 Leuven Conference on Noise and Vibration Engineering, pp.2809-2822, 2014. 〈hal-01103775〉

Exporter

BibTeX TEI DC DCterms EndNote

Partager

Métriques

Consultations de la notice

184

Téléchargements de fichiers

111

Contact

support.ccsd.cnrs.fr
hal.support@ccsd.cnrs.fr
Logo CCSD