A novel feature vector consisting of Ar-Ma model parameters for motor fault classification

ECE D. G., GEREK Ö. N.

IEEE 14th Signal Processing and Communications Applications, Antalya, Türkiye, 16 - 19 Nisan 2006, ss.69-70, (Tam Metin Bildiri) identifier identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Doi Numarası: 10.1109/siu.2006.1659844
  • Basıldığı Şehir: Antalya
  • Basıldığı Ülke: Türkiye
  • Sayfa Sayıları: ss.69-70
  • Anadolu Üniversitesi Adresli: Evet

Özet

In this work, AR-MA parameters corresponding to zeros and poles of the z-plane model are extracted from the sampled current waveform spectra, and considered as elements of a feature vector to classify faulty motors. The classification was observed to be possible due to the differences between these parameters according to the type of the motor faults.