| Autor: |
Jia Li, Ji Zhang, Yan Qing Peng, Da Min Zhang, Feng Wang |
| Rok vydání: |
2014 |
| Předmět: |
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| Zdroj: |
Applied Mechanics and Materials. :1825-1833 |
| ISSN: |
1662-7482 |
| DOI: |
10.4028/www.scientific.net/amm.568-570.1825 |
| Popis: |
Based on the comparative analysis of the fast Fourier transform (FFT), the short-time Fourier transform (STFT), the wavelet transform (WT) and other power quality detection algorithms, this paper puts forward to a new power quality detection algorithm which combines the Fourier transform with the wavelet transform. The transient as well as the steady state signals are separated on the basis that the wavelet transform is sensitive to the singular signals. The presented algorithm detects a variety of harmonic parameters of the gird after the separation of steady state signals is finished by fast Fourier transform. A new power quality detection system is then designed based on the core chip of S3C2440A, and the algorithm which is ARM-9 based is transplanted into the embedded Linux operating system to carry out the experiments. Analysis of the experimental data shows the detection algorithm is reliable by Fourier transform and wavelet transform. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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