Detection of partial rotor bar rupture of a cage induction motor using least square support vector machine approach

• Autorzy: Birame M’hamed , Bessedik Sid Ahmed , Benkhoris Mohamed Fouad

Identyfikatory

DOI

10.29354/diag/133039

• Języki publikacji: EN

Abstrakty

EN

Squirrel cage induction motors suffer from numerous faults, for example cracks in the rotor bars. This paper aims to present a novel algorithm based on Least Squares Support Vector Machine (LS-SVM) for detection partial rupture rotor bar of the squirrel cage asynchronous machine. The stator current spectral analysis based on FFT method is applied in order to extract the fault frequencies related to rotor bar partial rupture. Afterward the LS-SVM approach is established as monitoring system to detect the degree of rupture rotor bar. The training and testing data sets used are derived from the spectral analysis of one stator phase current, containing information about characteristic harmonics related to the partial rupture rotor bar. Satisfactory and more accurate results are obtained by applying LS-SVM to fault diagnosis of rotor bar.

Słowa kluczowe

EN

fault diagnosis; partial rupture rotor bar; spectral analysis; least square support vector machine; LS-SVM

PL

diagnostyka uszkodzeń; silnik indukcyjny; wirnik; analiza widmowa; maszyna wektorów nośnych

• Wydawca: Polskie Towarzystwo Diagnostyki Technicznej
• Czasopismo: Diagnostyka
• Rocznik: 2021
• Tom: Vol. 22, No. 1
• Strony: 57--63
• Opis fizyczny: Bibliogr. 15 poz., rys., tab.

Twórcy

autor

Birame M’hamed

• Ledmased Laboratory, University of Laghouat, 03000, Algeria

autor

Bessedik Sid Ahmed

• (LACoSERE) University of Laghouat, 03000, Algeria

autor

Benkhoris Mohamed Fouad

• IREENA, Saint Nazaire, Polytech’Nantes, France

Bibliografia

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• 14. Bensaoucha S, Ameur A, Bessedik S A and Teta A,. Comparative Investigation of Broken Bar Fault Detectability in Induction Motor Through FFT and MUSIC Techniques. International Conference on Communications and Electrical Engineering (ICCEE). IEEE. 2018: 1-5.
• 15. Laribi Souad. Use of Neuro-fuzzy technique in diagnosis of rotor faults of cage induction motor. 5th International Conference on Electrical Engineering (ICEE-B). Boumerdes, Algeria, 2017.

Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).