- Tytuł:
- Least square support vectors machines approach to diagnosis of stator winding short circuit fault in induction motor
- Autorzy:
-
Birame, M’hamed
Taibi, Djamel
Bessedik, Sid Ahmed
Benkhoris, Mohamed Fouad - Powiązania:
- https://bibliotekanauki.pl/articles/327458.pdf
- Data publikacji:
- 2020
- Wydawca:
- Polska Akademia Nauk. Polskie Towarzystwo Diagnostyki Technicznej PAN
- Tematy:
-
induction motor
inter-turn short circuit
fault diagnosis
least square support vector machine
LS-SVM
silnik indukcyjny
zwarcie międzyzwojowe
diagnostyka uszkodzeń - Opis:
- Various approaches have been proposed to monitor the state of machines by intelligent techniques such as the neural network, fuzzy logic, neuro-fuzzy, pattern recognition. However, the use of LS-SVM. This article presents an automatic computerized system for the diagnosis and the monitoring of faults between turns of the stator in IM applying the LS-SVM least square support vector machine. in this study for the detection of short circuit faults in the stator winding of the induction motor. Since it requires a mathematical model suitable for modelling defects, a defective IM model is presented. The proposed method uses the stator current as input and at the output decides the state of the motor, indicating the severity of the short-circuit fault.
- Źródło:
-
Diagnostyka; 2020, 21, 4; 35-41
1641-6414
2449-5220 - Pojawia się w:
- Diagnostyka
- Dostawca treści:
- Biblioteka Nauki
Artykuł