Vibration-based fault detection of sharp ...
Type de document :
Communication dans un congrès avec actes
Titre :
Vibration-based fault detection of sharp bearing faults in helicopters
Auteur(s) :
Girondin, Victor [Auteur]
Laboratoire d'Automatique, Génie Informatique et Signal [LAGIS]
Morel, Hervé [Auteur]
Eurocopter France
Cassar, Jean Philippe [Auteur]
Systèmes Tolérants aux Fautes [STF]
Pekpe, Midzodzi [Auteur]
Systèmes Tolérants aux Fautes [STF]
Laboratoire d'Automatique, Génie Informatique et Signal [LAGIS]
Morel, Hervé [Auteur]
Eurocopter France
Cassar, Jean Philippe [Auteur]
Systèmes Tolérants aux Fautes [STF]
Pekpe, Midzodzi [Auteur]

Systèmes Tolérants aux Fautes [STF]
Titre de la manifestation scientifique :
SAFEPROCESS
Ville :
Mexico City
Pays :
Mexique
Date de début de la manifestation scientifique :
2012-08-27
Titre de l’ouvrage :
8th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes
Date de publication :
2012-08-29
Mot(s)-clé(s) en anglais :
vibration
helicopter
health monitoring
frequency estimation
bearing
HUMS
helicopter
health monitoring
frequency estimation
bearing
HUMS
Discipline(s) HAL :
Sciences de l'ingénieur [physics]/Mécanique [physics.med-ph]/Vibrations [physics.class-ph]
Physique [physics]/Mécanique [physics]/Vibrations [physics.class-ph]
Physique [physics]/Mécanique [physics]/Vibrations [physics.class-ph]
Résumé en anglais : [en]
Many signal processing tools have been developed by the mechanical and signal processing community to find the characteristic symptoms of sharp bearing faults (like localized spalling) from vibratory analysis. However the ...
Lire la suite >Many signal processing tools have been developed by the mechanical and signal processing community to find the characteristic symptoms of sharp bearing faults (like localized spalling) from vibratory analysis. However the context of helicopter imposes a limited sampling frequency regarding the observed phenomena, many noisy vibrations and flight regimes. The performances of the classical methods are limited in such an environment mainly in identifying fault frequencies. Local bearing faults induce temporal periodic and impulsive patterns that produce redundant harmonics in the spectral domain. In this article four methods are proposed to take advantage of that redundancy. These methods provide an estimator of the fault frequency and an indicator of the quality of that estimation. These indicators are used to assess the severity of the fault. The four methods are then tested on synthesized and flight data in order to illustrate and discuss their efficiency.Lire moins >
Lire la suite >Many signal processing tools have been developed by the mechanical and signal processing community to find the characteristic symptoms of sharp bearing faults (like localized spalling) from vibratory analysis. However the context of helicopter imposes a limited sampling frequency regarding the observed phenomena, many noisy vibrations and flight regimes. The performances of the classical methods are limited in such an environment mainly in identifying fault frequencies. Local bearing faults induce temporal periodic and impulsive patterns that produce redundant harmonics in the spectral domain. In this article four methods are proposed to take advantage of that redundancy. These methods provide an estimator of the fault frequency and an indicator of the quality of that estimation. These indicators are used to assess the severity of the fault. The four methods are then tested on synthesized and flight data in order to illustrate and discuss their efficiency.Lire moins >
Langue :
Anglais
Comité de lecture :
Oui
Audience :
Internationale
Vulgarisation :
Non
Collections :
Source :
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