A New Approach to Detect Stator Fault in Permanent Magnet Synchronous Motors
Küçük Resim Yok
Tarih
2015
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Ieee
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
In this paper, detection of the stator winding inter-turn short circuit fault (SWISCF) in surface-mounted permanent magnet synchronous motors (SPMSMs) and classification of the fault severity via pattern recognition system (PRS) are presented. In order to automatically detect stator winding short circuit fault and to estimate severity of this fault, artificial neural network (ANN) based PRS has been used. It has been observed that the amplitude of the 3rd harmonics of the current is the most distinctive characteristic for detecting the short circuit fault ratio of the SPMSM. To increase the fault clasification accuracy of PRS both fundamental (1st) and 3rd harmonics are used. In order to validate proposed method experimental results are presented.
Açıklama
10th IEEE International Symposium on Diagnostics for Electrical Machines, Power Electronics, and Drives (SDEMPED) -- SEP 01-04, 2015 -- Guarda, PORTUGAL
Anahtar Kelimeler
Permanent Magnet Synchronous Motors, Pattern Recognition System, Fault Detection, Condition Monitoring, Digital Signal Processing, Fault Severity Classification
Kaynak
2015 Ieee 10th International Symposium on Diagnostics For Electric Machines, Power Electronics and Drives (Sdemped)
WoS Q Değeri
N/A
Scopus Q Değeri
N/A
