Noisy Voltage Sag Signal Analysis Based on Wavelet Transformation
| Autor: | Cao Min, Li Shilin, Qingchan Liu |
|---|---|
| Rok vydání: | 2015 |
| Předmět: |
Discrete wavelet transform
Engineering business.industry Stationary wavelet transform Second-generation wavelet transform ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Wavelet transform Cascade algorithm Data_CODINGANDINFORMATIONTHEORY Wavelet packet decomposition Wavelet Voltage sag Electronic engineering business Algorithm |
| Zdroj: | Proceedings of the 3rd International Conference on Mechatronics and Industrial Informatics. |
| DOI: | 10.2991/icmii-15.2015.187 |
| Popis: | In order to detect the starting and recovery points of noisy voltage sag signal, this paper proposed the wavelet soft threshold method for denoising and the wavelet transform for detecting the singular points. Comparing to the FIR filtering method, the wavelet soft threshold method can filter out the high-frequency and low-frequency noise component simultaneously. The simulation results show that the wavelet soft threshold method achieves a higher signal-to-noise ratio (SNR) and smaller root mean square error (RMSE). After denoising processing, the wavelet method can identify the starting and recovery points of sag signal accurately. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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