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, Turkey, 16 - 19 April 2006, pp.69-70, (Full Text) identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Doi Number: 10.1109/siu.2006.1659844
  • City: Antalya
  • Country: Turkey
  • Page Numbers: pp.69-70
  • Anadolu University Affiliated: Yes

Abstract

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.