RT Journal Article
T1 Monte Carlo uncertainty analysis of an ANN-based spectral analysis method.
A1 Salinas-Vázquez, José Ramón
A1 García-Lagos, Francisco
A1 Diaz-De Aguilar, Javier
A1 Joya-Caparrós, Gonzalo
A1 Sandoval-Hernández, Francisco
K1 Montecarlo, Método de
K1 Modelos matemáticos
K1 Teoría espectral (Matemáticas)
AB This work presents the uncertainty analysis of an artificial neural network (ANN)-based method, called multiharmonic ANN fitting method (MANNFM), which is able to obtain, at a metrological level, the spectrum of asynchronously sampled periodical signals. For sinusoidal and harmonic content signals, jitter and quantization noise contributions to uncertainty are considered in order to obtain amplitude and phase uncertainties using Monte Carlo method. The analysis performed identifies also both contributions to uncertainty for different parameters laboratory configurations. The analysis is performed simultaneously with our method and two others: discrete Fourier transform (DFT), for synchronously sampled signals, and multiharmonic sine-fitting method (MSFM), for asynchronously sampled signals, in order to compare them in terms of uncertainty. Regarding asynchronous methods, results show that MANNFM provides the same uncertainties than MSFM, with the advantage of a simpler implementation. Regarding asynchronous and synchronous methods comparison, results for sinusoidal signals show that MANNFM has the same uncertainty as DFT for amplitude and higher uncertainty for phase values; for signals with harmonic content, amplitude conclusions maintain but, regarding phase, both MANNFM and DFT uncertainties become closer as the frequency increases, which implies, in fact, that when synchronous sampling is not possible, spectrum analysis can be performed with asynchronous methods without incurring in uncertainty increases.
PB Springer
YR 2020
FD 2020-01-20
LK https://hdl.handle.net/10630/41293
UL https://hdl.handle.net/10630/41293
LA eng
NO Salinas, J.R., García-Lagos, F., Diaz de Aguilar, J. et al. Monte Carlo uncertainty analysis of an ANN-based spectral analysis method. Neural Comput & Applic 32, 351–368 (2020). https://doi.org/10.1007/s00521-019-04169-x
NO https://openpolicyfinder.jisc.ac.uk/id/publication/17185?from=single_hit
NO Grupo ISIS. Universidad de Málaga
NO Centro Español de Metrología
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 19 ene 2026