Detection of Rotor Bar Fault through Stray Flux Based Analytical Signal Angular Fluctuation Method


GÖKTAŞ T., ARKAN M.

IEEE International Electric Machines & Drives Conference (IEMDC) 2023, San-Francisco, Costa Rica, 15 - 18 May 2023 identifier

  • Publication Type: Conference Paper / Full Text
  • Doi Number: 10.1109/iemdc55163.2023.10238946
  • City: San-Francisco
  • Country: Costa Rica
  • Dokuz Eylül University Affiliated: Yes

Abstract

Stray flux analysis has increasing trend to monitor the machine condition  including fault diagnosis. In this paper, the rotor bar fault is detected through the Stray Flux based Analytical Signal Angular Fluctuation (SF-ASAF) method in  induction motors (IMs). For this purpose, the stray flux is collected from the vicinity of motor frame and analytical signal of stray flux is calculated using Hilbert Transform (HT). Then, angular fluctuation of obtained signal is utilized to see the harmonic content of stray flux-analytical signal. It is shown that there are some effective signals such as fs-3sfs, 2sfs to detect rotor bar fault in stray flux based analytical signal angular fluctuation spectrum. The presented 2D- FEM based simulation and experimental results prove that the Stray Flux based  Analytical Signal Angular Fluctuation (SF-ASAF) method can provide superior and reliable results rather than classical stray flux analysis in induction  motors.