Fault Detection in Induction Motors with Independent Component Analysis (ICA)


Guney I. , KILIÇ E., ÖZGÖNENEL O., Ulutas M., KARADENİZ E.

Bucharest PowerTech Conference, Bucharest, Romania, 28 June - 02 July 2009, pp.2407-2408 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Doi Number: 10.1109/ptc.2009.5282251
  • City: Bucharest
  • Country: Romania
  • Page Numbers: pp.2407-2408

Abstract

In this study, the aim is to detect an induction motor's winding faults by using independent component analysis (ICA). Many laboratory experiments have been done on an induction motor to check the performance of the proposed method. The phase currents of the induction motor are used in the fault detection algorithm. The algorithm is implemented by using AIATLAB. The proposed method is compared to FFT solution to see its ability to distinguish fault currents. It has been observed that the proposed method based on ICA can efficiently be used to detect induction motors winding faults.