In this paper the results of an experimental study on fault detection in a gearbox using motor current signature analysis is presented. Broken teeth and teeth wear have been artificially introduced in the gears as faults. Signal processing techniques like the multiresolution fourier transform (MFT) has been used for feature extraction from the current signals drawn by the induction motor drivin...

This paper presents the practical approach to identify the rotor breakage faults in the induction motor during online condition by using current and voltage signature analysis. Special attention is focused on the effect of both space distribution of rotor breakage and rotor dissymmetry on the mechanism of generation of diagnosis signatures with the consideration of voltage supply unbalance and ...

It is well known that Induction motors are used worldwide as the “workhorse” in industrial applications. Although, these electromechanical devices are highly reliable, they are susceptible to many types of faults. Such fault can become catastrophic and cause production shutdowns, personal injuries and waste of raw material. However, induction motor faults can be detected in an initial stage in ...

— This paper describes the ongoing research on Rough Sets based classifier applied to Induction Motors fault diagnosis through Motor Current Signature Analysis (MCSA). The results of mechanical failures detection and how a Rough Sets based classifier is used as a monitoring system using current signature analysis in predictive maintenance are described in this paper.

This paper presents an assessment of motor current signature analysis for fault diagnosis of an induction motor. Single phasing fault has been considered and stator current harmonics are analyzed by assessing peaks and symmetry in harmonic spectrums both at normal condition and at fault condition. ‘db4’ is used for current signature analysis wavelet decomposition. A comparative observation is m...

This paper is intended as a tutorial overview of induction motors signature analysis as a medium for fault detection. The purpose is to introduce in a concise manner the fundamental theory, main results, and practical applications of motor signature analysis for the detection and the localization of abnormal electrical and mechanical conditions that indicate, or may lead to, a failure of induct...