Detection of the broken bar fault: A case study for a 3.2 MW induction motor

Abstract

This paper covers a case study for broken bar detection for 3.2 MW motor in a thermal power plant application. One phase current acquisition is considered. Feature extraction is based on transient and steady state analysis. Fourier, Hilbert and Wavelet transforms are used. Working conditions implicate low shaft load setting. It is shown that reliable broken bar detection is possible when contemporary digital signal processing techniques are used.

Keywords

• broken bar
• induction motor
• fourier transform
• hilbert transform
• wavelet transform