Diagnosis of ITSC fault in the electrical vehicle powertrain system through signal processing analysis

• Autorzy: Ouamara Dehbia , Boukhnifer Moussa , Chaibet Ahmed , Maidi Ahmed

Identyfikatory

DOI

10.29354/diag/161309

• Języki publikacji: EN

Abstrakty

EN

The three-phase induction motor is well suited for a wide range of mobile drives, specifically for electric vehicle powertrain. During the entire life cycle of the electric motor, some types of failures can occur, with stator winding failure being the most common. The impact of this failure must be considered from the incipient as it can affect the performance of the motor, especially for electrically powered vehicle application. In this paper, the intern turn short circuit of the stator winding was studied using Fast Fourier transform (FFT) and Shor-Time Fourier transform (STFT) approaches. The residuals current between the estimated currents provided by the extended Kalman filter (EKF) and the actual ones are used for fault diagnosis and identification. Through FFT, the residual spectrum is sensitive to faults and gives the extraction of inter-turn short circuit (ITSC) related frequencies in the phase winding. In addition, the FFT is used to obtain information about when and where the ITSC appears in the phase winding. Indeed, the results allow to know the faulty phase, to estimate the fault rate and the fault occurrence frequency as well as their appearance time.

Słowa kluczowe

EN

induction motor; electrical vehicle; fault diagnosis; inter-turn short circuit; extended Kalman filter; spectral analysis; fast Fourier transform; short-time Fourier transform

PL

silnik indukcyjny; pojazd elektryczny; diagnostyka uszkodzeń; zwarcie międzyzwojowe; rozszerzony filtr Kalmana; analiza spektralna; szybka transformata Fouriera; krótkoczasowa transformata Fouriera

• Wydawca: Polskie Towarzystwo Diagnostyki Technicznej
• Czasopismo: Diagnostyka
• Rocznik: 2023
• Tom: Vol. 24, No. 1
• Strony: art. no. 2023113
• Opis fizyczny: Bibliogr. 33 poz., rys.

Twórcy

autor

Ouamara Dehbia

• Department of Electrotechnics, Mouloud Mammeri University of Tizi Ouzou, Algeria

autor

Boukhnifer Moussa

• University of Lorraine, LCOMS, F-57000 Metz, France

autor

Chaibet Ahmed

• ISAT, University of Burgundy, France

autor

Maidi Ahmed

• L2CSP Laboratory, Mouloud Mammeri University of Tizi Ouzou, Algeria

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).