Diagnostics of electric motors technical condition using wavelet analysis
| Autor: | A. Bolshunov, A. Kamyshian, O. Bolshunova |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Electric motor
Signal processing Engineering business.industry Wavelet transform 020206 networking & telecommunications Control engineering 02 engineering and technology Vibration Wavelet Electrical equipment 0202 electrical engineering electronic engineering information engineering Electronic engineering 020201 artificial intelligence & image processing MATLAB business computer Induction motor computer.programming_language |
| Zdroj: | 2016 2nd International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM). |
| DOI: | 10.1109/icieam.2016.7911524 |
| Popis: | Nowadays, many industrial enterprises, including mining ones, are characterized by a shift from maintenance of electrical equipment according to the regulations or failure to service according to actual condition, which is impossible without carrying out diagnostic measures. The wavelet analysis of the electric motors diagnostic signals is considered. The wavelet functions, which are recommended for signal analysis in the vibration-based and current-based spectral diagnostics of electric motors, are presented. The implementation of wavelet transform in the MatLab Wavelet Toolbox application is shown. The results of experimental studies are presented. According to research results, wavelet analysis can be recommended as the main tool of processing diagnostic signals of electric machines. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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