- Tytuł:
- 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 - Powiązania:
- https://bibliotekanauki.pl/articles/1840890.pdf
- Data publikacji:
- 2021
- Wydawca:
- Polska Akademia Nauk. Polskie Towarzystwo Diagnostyki Technicznej PAN
- Tematy:
-
fault diagnosis
partial rupture rotor bar
spectral analysis
least square support vector machine
LS-SVM
diagnostyka uszkodzeń
silnik indukcyjny
wirnik
analiza widmowa
maszyna wektorów nośnych - Opis:
- 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.
- Źródło:
-
Diagnostyka; 2021, 22, 1; 57-63
1641-6414
2449-5220 - Pojawia się w:
- Diagnostyka
- Dostawca treści:
- Biblioteka Nauki
Artykuł