Broken Bar Diagnosis for Squirrel Cage Induction Motors Using Frequency Analysis Based on MCSA and Continuous Wavelet Transform
| Autor: | Danilo Granda, Wilbert G. Aguilar, Danny Sotomayor, Diego Arcos-Aviles |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
Electric motor
Squirrel-cage rotor Computer science Bar (music) Applied Mathematics 020208 electrical & electronic engineering Fast Fourier transform General Engineering 02 engineering and technology Fault detection and isolation Computational Mathematics Control theory Frequency domain broken bars detection induction motors fault diagnosis frequency-domain analysis continuous wavelet transform 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Continuous wavelet transform Induction motor |
| Zdroj: | Mathematical and Computational Applications; Volume 22; Issue 2; Pages: 30 |
| ISSN: | 2297-8747 |
| DOI: | 10.3390/mca22020030 |
| Popis: | The importance of early fault detection in electric motors has attracted the attention of research groups, as the detection of incipient faults can prevent damage spreading and increase the lifetime of the motor. At present, studies have focused their attention on optimization procedures used for fault detection in induction machines to achieve a quick and easy-to-interpret assessment at an industrial level. This paper proposes an alternative approach based on the Continuous Wavelet Transform (CWT) for broken bar diagnosis in squirrel cage induction motors. This work uses the Motor Current Signature Analysis (MCSA) method to acquire the current signal of the induction motor. The novelty of this study lies in broken bar detection in electric machines operating at non-load by analyzing variations in the spectrum of the motor’s current signal. This way, the faults are presented as oscillations in the current signal spectrum. Additionally, a quantification of broken bars for the same type of motors operating at fullload is performed in this study. An experimental validation and the comparison with the Fast Fourier Transform (FFT) technique are provided to validate the proposed technique. |
| Databáze: | OpenAIRE |
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