• français
    • English
    français
  • Login
Help
View Item 
  •   Home
  • Institut de Recherche de l’École navale (IRENAV)
  • View Item
  • Home
  • Institut de Recherche de l’École navale (IRENAV)
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Induction machine bearing failures detection using stator current frequency spectral subtraction

Communication avec acte
Author
EL BOUCHIKHI, El Houssin
CHOQUEUSE, Vincent
BENBOUZID, Mohamed
55607 Laboratoire brestois de mécanique et des systèmes [LBMS]
CHARPENTIER, Jean-Frederic
13094 Institut de Recherche de l'Ecole Navale [IRENAV]

URI
http://hdl.handle.net/10985/8699
DOI
10.1109/ISIE.2012.6237265
Date
2012

Abstract

Abstract—Induction machines are widely used in industrial applications. Safety, reliability, efficiency and performance are major concerns that direct the research activity in the field of electrical machines. Though the induction machine is very reliable, many failures can occur such as bearing faults, air-gap eccentricity and broken rotor bars. Therefore, the challenge is to detect them at an early stage in order to prevent breakdowns. The purpose of this paper is to propose a new approach for fault detection based on the spectral subtraction. The technique effectiveness is demonstrated using simulation data issued from a coupled electromagnetic circuits approach and experiments in the case of bearing failures.

Files in this item

Name:
IRENAV_ISIE_2012_CHARPENTIER.pdf
Size:
920.2Kb
Format:
PDF
View/Open

Collections

  • Institut de Recherche de l’École navale (IRENAV)

Related items

Showing items related by title, author, creator and subject.

  • A Comparative Study of Time-Frequency Representations for Fault Detection in Wind Turbine 
    Communication avec acte
    EL BOUCHIKHI, EL HOUSSIN; CHOQUEUSE, Vincent; BENBOUZID, Mohamed; CHARPENTIER, Jean-Frederic; BARAKAT, Georges (IEEE, 2011)
    To reduce the cost of wind energy, minimization and prediction of maintenance operations in wind turbine is of key importance. In variable speed turbine generator, advanced signal processing tools are required to detect ...
  • Induction machine fault detection enhancement using a stator current high resolution spectrum 
    Communication avec acte
    EL BOUCHIKHI, El Houssin; CHOQUEUSE, Vincent; CHARPENTIER, Jean-Frederic; BENBOUZID, Mohamed (IEEE, 2012)
    Fault detection in squirrel cage induction machines based on stator current spectrum has been widely investigated. Several high resolution spectral estimation techniques have been developed and used to detect induction ...
  • Etude Comparative des Techniques de Traitement du Signal Non- Stationnaires Dédiées au Diagnostic des Génératrices Asynchrones dans les Eoliennes Offshores et les Hydroliennes 
    Communication avec acte
    EL BOUCHIKHI, El Houssin; CHOQUEUSE, Vincent; BENBOUZID, Mohamed; CHARPENTIER, Jean-Frederic (2011)
    L’amélioration de la disponibilité et de la fiabilité des éoliennes offshores et des systèmes de récupération de l’énergie des courants marins implique la nécessité de minimiser et de prévoir les opérations de maintenance. ...
  • Bearing Fault Detection in DFIG-Based Wind Turbines Using the First Intrinsic Mode Function 
    Communication avec acte
    AMIRAT, Yacine; CHOQUEUSE, Vincent; BENBOUZID, Mohamed; CHARPENTIER, Jean-Frederic (IEEE, 2010)
    Wind energy conversion systems have become a focal point in the research of renewable energy sources. In order to make the DFIG-based wind turbines so competitive as the classical electric power stations it is important ...
  • Concepts, Modélisation et Commandes des Hydroliennes 
    Chapitre d'ouvrage scientifique
    ccBENBOUZID, Mohammed; ccASTOLFI, Jacques Andre; BACHA, Seddik; ccCHARPENTIER, Jean-Frederic; MACHMOUN, Mohamed; MAITRE, Thierry; ROYE, Daniel (Hermes Science Publications, 2011)
    Face au problème de la gestion des déchets nucléaire et aux émissions de gaz à effet de serre, les énergies renouvelables occupent une place avancée parmi les énergies d’avenir grâce à leur faible impact sur l’environnement ...

Browse

All SAMCommunities & CollectionsAuthorsIssue DateCenter / InstitutionThis CollectionAuthorsIssue DateCenter / Institution

Newsletter

Latest newsletterPrevious newsletters

Statistics

Most Popular ItemsStatistics by CountryMost Popular Authors

ÉCOLE NATIONALE SUPERIEURE D'ARTS ET METIERS

  • Contact
  • Mentions légales

ÉCOLE NATIONALE SUPERIEURE D'ARTS ET METIERS

  • Contact
  • Mentions légales