DIAGNOSTIC DES DÉFAUTS DE ROULEMENTS DE MOTEUR À INDUCTION PAR UNE MÉTHODE DE KURTOGRAMME AMÉLIORÉE

Auteurs

  • MOHAMMED-EL-AMINE KHODJA National School of Built and Ground Works Engineering image/svg+xml , Département des classes préparatoires, École nationale des ingénieurs des travaux publics et des terrassements, Algérie. , Laboratoire LDEE, Département de génie électrique, Université des sciences et technologies USTO, Algérie. Author https://orcid.org/0000-0002-1973-4501 (non authentifié)
  • AHMED HAMIDA BOUDINAR Laboratoire LDEE, Département de génie électrique, Université des sciences et technologies USTO, Algérie. Author
  • AMEUR FETHI AIMER Laboratoire LDEE, Département de génie électrique, Université de Saïda, Algérie. Author
  • AZEDDINE BENDIABDELLAH Laboratoire LDEE, Département de génie électrique, Université des sciences et technologies USTO, Algérie. Author

DOI :

https://doi.org/10.59277/RRST-EE.2026.2.7

Mots-clés :

Moteur à induction, Courant statorique, Roulement à billes, Diagnostic de pannes, Kurtosis spectrale, Kurtogramme

Résumé

Il est bien connu que la bague extérieure des roulements à billes utilisés dans les moteurs à induction est la pièce la plus sujette aux défaillances, ce qui entraîne, dans la plupart des cas, l'arrêt complet du processus industriel. De plus, le diagnostic précoce de ce défaut est essentiel pour améliorer la fiabilité de ces moteurs et éviter des pertes financières considérables. À cette fin, la démodulation de l'enveloppe du courant statorique constitue une approche diagnostique prometteuse, permettant l'extraction directe de la signature du défaut, indépendamment de la fréquence fondamentale. Par ailleurs, le kurtogramme, un outil statistique d'analyse spectrale du 4e ordre, permet d'extraire la signature des défauts recherchés, même en présence de signaux non stationnaires. L'objectif de cet article est donc de présenter une étude comparative de deux algorithmes de calcul basés sur le kurtogramme : le kurtogramme rapide et le kurtogramme par ondelettes. Les résultats expérimentaux issus de l'analyse spectrale du courant statorique démontrent la supériorité du kurtogramme par ondelettes par rapport au kurtogramme rapide pour la détection et la localisation du défaut de la bague extérieure.

Biographie de l'auteur

  • MOHAMMED-EL-AMINE KHODJA, National School of Built and Ground Works Engineering, Département des classes préparatoires, École nationale des ingénieurs des travaux publics et des terrassements, Algérie., Laboratoire LDEE, Département de génie électrique, Université des sciences et technologies USTO, Algérie.

    With a deep-rooted passion for Electrical Engineering education, my role at ENSTP and USTO-MB encompasses university lecturing and management, driven by a commitment to academic excellence. Spearheading innovative teaching methods, my focus lies in the creation of dynamic learning environments and the development of a curriculum that aligns with industry standards.

    At USTO-MB, my research in advanced signal processing for fault detection in electrical motors and drives has been instrumental in advancing the field. Collaborating with colleagues and mentoring students, we strive to contribute meaningful advancements to Electrical Engineering. My leadership in the classroom and lab reflects a dedication to fostering the next generation of engineers and researchers.

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Publiée

2026-06-02

Numéro

Rubrique

Électrotechnique et électroénergétique | Electrical and Power Engineering

Comment citer

DIAGNOSTIC DES DÉFAUTS DE ROULEMENTS DE MOTEUR À INDUCTION PAR UNE MÉTHODE DE KURTOGRAMME AMÉLIORÉE. (2026). REVUE ROUMAINE DES SCIENCES TECHNIQUES — SÉRIE ÉLECTROTECHNIQUE ET ÉNERGÉTIQUE, 71(2), 211-216. https://doi.org/10.59277/RRST-EE.2026.2.7