Inner and Outer Race Bearing Defects of Induction Motor Running at Low Speeds Signal Analysis with DWT

EasyChair Preprint 4518

Abstract

The present work deals with bearing inner and outer races defects analysis using Discrete wavelet transform (DWT) decomposition finalized by MATLAB/ toolbox analysis. All previously studied methods and techniques used and applied for the detection of defects in induction motors bearing suffer from some drawbacks such as the difficulties of identifying  bearing faults from the frequency spectrum because of non stationary vibration signals. In order to overcome this issue, the Discrete Wavelet Transform (DWT) decomposition is proposed for signal analysis as an efficient tool for various induction motor faults detection. In order to validate the proposed procedure,  a setup is designed in LSELM laboratory for measuring vibratory signals of a bearing set driven by a 0.38 KW three phase induction motor operating at low speed (500tr/mn)  for healthy and two bearing faults (inner race and outer race defects). The obtained results are discussed and analyzed

Keyphrases: - inner and outer races defects, -DISCRET WAVELET TRANSFORM., induction machine

@booklet{EasyChair:4518,
  author    = {Belkacemi Bellal and Saad Salah},
  title     = {Inner and Outer Race Bearing Defects of Induction Motor Running at Low Speeds Signal Analysis with DWT},
  howpublished = {EasyChair Preprint 4518},
  year      = {EasyChair, 2020}}