Name
Abstract | ||
|---|---|---|
A new method designed to perform high-accuracy spectral analysis, based on ADALINE artificial neural networks (ANNs), is proposed. The proposed network is able to accurately calculate the fundamental frequency and the harmonic content of an input signal. The method is especially useful in high-precision digital measurement systems in which periodical signals are involved, i.e. digital watt meters. Most of these systems use spectral analysis algorithms as an intermediate step for the computation of the magnitudes of interest. The traditional spectral analysis methods require synchronous sampling, which introduce limitations to the sampling circuitry. Sine-fitting multiharmonics algorithms resolve the hardware limitations concerning the synchronous sampling but have some limitations with regard to the phase of the array of samples. The new implementation of sine-fitting multiharmonics algorithms based on ANN eliminates these limitations. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1016/j.neucom.2009.01.017 | Neurocomputing |
Keywords | DocType | Volume |
discrete fourier transform,multiharmonics algorithm,harmonics,digital measurement,traditional spectral analysis method,new implementation,adaline,system use spectrum analysis,high-accuracy spectral analysis,traditional spectrum analysis method,spectral analysis,ann,sine-fitting methods,spectral analysis algorithm,artificial neural network,sine fitting multiharmonic,digital measurement system,digital watt meter,synchronous sampling,sine-fitting multiharmonic,new method,sampling circuitry,high-precision digital measurement system | Conference | 72 |
Issue | ISSN | Citations |
16-18 | Neurocomputing | 0 |
PageRank | References | Authors |
0.34 | 4 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| J. R. Salinas | 1 | 0 | 1.01 |
| F. García | 2 | 27 | 7.39 |
| Gonzalo Joya Caparrós | 3 | 3 | 1.27 |
| Francisco Sandoval Hernández | 4 | 771 | 104.15 |