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Wyświetlanie 1-4 z 4
Tytuł:
Fault diagnosis method for an aerospace generator rotating rectifier based on dynamic FFT technology
Autorzy:
Feng, Sai
Cui, Jiang
Zhang, Zhuoran
Powiązania:
https://bibliotekanauki.pl/articles/1849142.pdf
Data publikacji:
2021
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
aerospace generator
rotating rectifier
fault diagnosis
dynamic Fast Fourier Transform
feature extraction
Opis:
A fault diagnosis method for the rotating rectifier of a brushless three-phase synchronous aerospace generator is proposed in this article. The proposed diagnostic system includes three steps: data acquisition, feature extraction and fault diagnosis. Based on a dynamic Fast Fourier Transform (FFT), this method processes the output voltages of aerospace generator continuously and monitors the continuous change trend of the main frequency in the spectrum before and after the fault. The trend can be used to perform fault diagnosis task. The fault features of the rotating rectifier proposed in this paper can quickly and effectively distinguish single and double faulty diodes. In order to verify the proposed diagnosis system, simulation and practical experiments are carried out in this paper, and good results can be achieved.
Źródło:
Metrology and Measurement Systems; 2021, 28, 2; 269-288
0860-8229
Pojawia się w:
Metrology and Measurement Systems
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Application of Spectral and Wavelet Analysis of Stator Current to Detect Angular Misalignment in PMSM Drive Systems
Autorzy:
Pietrzak, Przemysław
Wolkiewicz, Marcin
Powiązania:
https://bibliotekanauki.pl/articles/1956007.pdf
Data publikacji:
2021
Wydawca:
Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Tematy:
fault diagnosis
permanent magnet synchronous motor
angular misalignment
fast Fourier transform
discrete wavelet transform
Opis:
This paper deals with the selected methods of detecting angular misalignment in drive systems with a permanent magnet synchronous motor (PMSM), which are based on the analysis of the stator phase current signal, as well as their experimental verification and comparison. The proposed and compared methods are spectral analysis and wavelet analysis of the stator current, stator current envelope, stator current space vector module. Furthermore, the influence of power supply frequency and load torque on the performance of the proposed diagnostic methods is also discussed. The experimental tests were carried out for an undamaged motor and for two levels of angular misalignment. The article discusses the question of exactly what damage symptoms can be extracted from each of the methods. In the case of spectral analyses, it is demonstrated which multiplicities of the failure frequency are the most sensitive to misalignment and the least sensitive to changes in motor operating condition, which may be considered novel in the case of drive systems with permanent magnet motors. It is also proven that discrete wavelet transform (DWT) of the envelope and monitoring of the value of the relevant components allows the detection of misalignment with the availability of measuring current only in one phase in various motor operating conditions.
Źródło:
Power Electronics and Drives; 2021, 6, 41; 42-60
2451-0262
2543-4292
Pojawia się w:
Power Electronics and Drives
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Stator winding fault detection of permanent magnet synchronous motors based on the bispectrum analysis
Autorzy:
Pietrzak, Przemysław
Wolkiewicz, Marcin
Powiązania:
https://bibliotekanauki.pl/articles/2173641.pdf
Data publikacji:
2022
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
fault diagnosis
condition monitoring
inter-turn short circuits
permanent magnet synchronous motor
bispectrum
fast Fourier transform
błędna diagnoza
monitorowanie stanu
zwarcia międzyzwojowe
silnik synchroniczny z magnesami trwałymi
bispektrum
szybka transformata Fouriera
Opis:
The popularity of high-efficiency permanent magnet synchronous motors in drive systems has continued to grow in recent years. Therefore, also the detection of their faults is becoming a very important issue. The most common fault of this type of motor is the stator winding fault. Due to the destructive character of this failure, it is necessary to use fault diagnostic methods that facilitate damage detection in its early stages. This paper presents the effectiveness of spectral and bispectrum analysis application for the detection of stator winding faults in permanent magnet synchronous motors. The analyzed diagnostic signals are stator phase current, stator phase current envelope, and stator phase current space vector module. The proposed solution is experimentally verified during various motor operating conditions. The object of the experimental verification was a 2.5 kW permanent magnet synchronous motor, the construction of which was specially prepared to facilitate inter-turn short circuits modelling. The application of bispectrum analysis discussed so far in the literature has been limited to vibration signals and detecting mechanical damages. There are no papers in the field of motor diagnostic dealing with the bispectrum analysis for stator winding fault detection, especially based on stator phase current signal.
Źródło:
Bulletin of the Polish Academy of Sciences. Technical Sciences; 2022, 70, 2; art. no. e140556
0239-7528
Pojawia się w:
Bulletin of the Polish Academy of Sciences. Technical Sciences
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
    Wyświetlanie 1-4 z 4

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