Inner and Outer Race Bearing Defects of Induction Motor Running at Low Speeds Signal Analysis with DWT
| Autor: | Salah Saad, Bellal Belkacemi |
|---|---|
| Rok vydání: | 2021 |
| Předmět: | |
| Zdroj: | Advances in Intelligent Systems and Computing ISBN: 9783030736880 SoCPaR |
| DOI: | 10.1007/978-3-030-73689-7_92 |
| Popis: | This paper is focused on bearing inner and outer races defects considered as an important cause of bearing elements damage. The methods and techniques used and applied for the detection of defects in induction motors bearing suffer from some drawbacks such as difficulties of identifying bearing faults from the frequency spectrum because of non stationary vibration signals. For better faults localization, wavelet transform is the best technique for time-frequency analysis. Thus the Discrete Wavelet Transform (DWT) decomposition improved by MATLAB/Simulink toolbox is proposed in this work for signal analysis of bearing faults detection. In order to confirm the proposed procedure, an experimental rig for measuring vibratory signals of a bearing set driven by a 0.38 KW three phase induction motor operating at low speed (500 rpm) for healthy and two bearing faults (inner race and outer race defects). From the obtained results it can be concluded that the DWT enhanced by MATLAB/Simulink toolbox has shown its effectiveness and is appropriate for bearing inner and outer races faults detection. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|