Detection and diagnosis of lubrication and faults in bearing on induction motors through STFT

Abstract

The Induction motors are nowadays widely used in a variety of industrial applications due to their simple build and high reliability, On the other hand, adequate bearing lubrication is so important to guarantee an adequate operation during a long time. Thus, in this work, a method for detection and diagnosis of lubrication and mechanical faults in bearing used on induction motors through Short Time Fourier Transform (STFT) is proposed. Obtained results demonstrate the correct detection of lubrication and mechanical faults in bearing by the identification of different spectral components for each faulty case and the healthy condition.