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Application of novel sensors and advanced signal processing techniques for bearing fault detection

Par Conseil national de recherches du Canada

AuteurRechercher : 1; Rechercher : 1; Rechercher : 1; Rechercher : 1; Rechercher : 2
Affiliation
  1. Conseil national de recherches du Canada. Institut de recherche aérospatiale du CNRC
  2. Carleton University
FormatTexte, Article
ConférenceCANSMART 2007: 10th International Workshop on Smart Materials and Structures, 10-11 October, 2007, Montreal, Canada
Sujetbearing; health monitoring; fault detection; frequency domain; wavelet analysis
Résumé
In this paper, the use of two novel sensors, namely, an air-coupled ultrasound transducer and a piezoelectric ultrasonic transducer were investigated as diagnostic tools for detection of bearing faults. A series of experiments were carried out on a test rig using test bearings with different sizes of localized defects to simulate evolving cracks. The acoustic data from these sensors were analyzed using frequency domain signal processing techniques as well as advanced time-frequency domain technique that uses wavelet transform. The damage detection capability of the novel sensors varied depending on the defect size and location as well as the applied signal analysis technique. The fault detection performance of these novel sensors were compared to data obtained from an accelerometer, which is the traditionally used sensor for health monitoring. The effectiveness of advanced time-frequency domain signal processing technique based on wavelet transform was also compared with the traditional frequency domain analyses.
Publications évaluées par des pairsOui
Numéro du CNRCSMPL-2007-0141
Numéro NPARC8926982
Exporter la noticeExporter en format RIS
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Identificateur de l’enregistrement7cdcea25-3a58-4692-b2df-c7f834a1aa05
Enregistrement créé2009-04-23
Enregistrement modifié2020-04-16
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