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Wyszukujesz frazę "short-time Fourier transform" wg kryterium: Temat


Wyświetlanie 1-2 z 2
Tytuł:
Stator Winding Fault Detection of Permanent Magnet Synchronous Motors Based on the Short-Time Fourier Transform
Autorzy:
Pietrzak, Przemysław
Wolkiewicz, Marcin
Powiązania:
https://bibliotekanauki.pl/articles/2175935.pdf
Data publikacji:
2022
Wydawca:
Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Tematy:
fault diagnosis
condition monitoring
inter-turn short circuit
permanent magnet synchronous motor
short-time Fourier transform
Opis:
In modern drive systems, the high-efficient permanent magnet synchronous motors (PMSMs) have become one of the most substantial components. Nevertheless, such machines are exposed to various types of faults. Hence, on-line condition monitoring and fault diagnosis of PMSMs have become necessary. One of the most common PMSM faults is the stator winding fault. Due to the destructive character of this failure, it is necessary to use fault diagnostic methods that allow fault detection at its early stage. The article presents the results of experimental studies obtained from fast Fourier transform (FFT) and short-time Fourier transform (STFT) analyses of the stator phase current, stator phase current envelope and stator phase current space vector module. The superiority of the proposed method over the classical approach based on the stator current analysis using FFT is highlighted. The proposed solution is experimentally verified under various motor operating conditions. The application of STFT analysis discussed so far in the literature has been limited to the fault diagnosis of induction motors and the narrow range of the analysed motor operating conditions. Moreover, there are no works in the field of motor diagnostics dealing with STFT analysis for stator windings based on the stator current envelope and the stator current space vector module.
Źródło:
Power Electronics and Drives; 2022, 7, 42; 112--133
2451-0262
2543-4292
Pojawia się w:
Power Electronics and Drives
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Diagnosis of ITSC fault in the electrical vehicle powertrain system through signal processing analysis
Autorzy:
Ouamara, Dehbia
Boukhnifer, Moussa
Chaibet, Ahmed
Maidi, Ahmed
Powiązania:
https://bibliotekanauki.pl/articles/2174472.pdf
Data publikacji:
2023
Wydawca:
Polska Akademia Nauk. Polskie Towarzystwo Diagnostyki Technicznej PAN
Tematy:
induction motor
electrical vehicle
fault diagnosis
inter-turn short circuit
extended Kalman filter
spectral analysis
fast Fourier transform
short-time Fourier transform
silnik indukcyjny
pojazd elektryczny
diagnostyka uszkodzeń
zwarcie międzyzwojowe
rozszerzony filtr Kalmana
analiza spektralna
szybka transformata Fouriera
krótkoczasowa transformata Fouriera
Opis:
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.
Źródło:
Diagnostyka; 2023, 24, 1; art. no. 2023113
1641-6414
2449-5220
Pojawia się w:
Diagnostyka
Dostawca treści:
Biblioteka Nauki
Artykuł
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