Non-parametric estimation of the amplitude ratio of sinusoidal signals with common frequency

Agrež, D.; Lušin, Tomaž

doi:10.1016/j.measurement.2014.04.039

Cited by 5 publications

(3 citation statements)

References 23 publications

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“…the fault location and fault impedance. The signal with change in phase angle is shown in (7) and the ATSW based frequency estimation is given by Fig. 4.…”

Section: Performance Analysis Of Atsw Based Frequency-estimationmentioning

confidence: 99%

“…Incorrect estimation of the system frequency results in phasor oscillations [1] which may alter the behavior of the protective relay thus resulting in erroneous outputs and protection malfunctions. In order to overcome this issue, frequency estimation methods based on various frequency-domain and time-domain based algorithms have been proposed in the literature [2,3,4,5,6,7,8,9]. In frequency-domain based methods, fast and accurate estimation of frequency is a challenging task, as increase in time resolution causes decrease in frequency resolution and vice versa.…”

Section: Introductionmentioning

confidence: 99%

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Power systems frequency estimation using amplitude tracking square wave for low-end protective relays

2019

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“…the fault location and fault impedance. The signal with change in phase angle is shown in (7) and the ATSW based frequency estimation is given by Fig. 4.…”

Section: Performance Analysis Of Atsw Based Frequency-estimationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Power systems frequency estimation using amplitude tracking square wave for low-end protective relays

2019

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“…However, several applications have shown that LPA is a powerful technique to deal with linear and non-linear problems [16], reduction of leakage errors [17], nonparametric modelling [18] and filter design [19]. In this way, this paper presents a method for denoising lightning electric field measurements based on the LPA application.…”

Section: Introductionmentioning

confidence: 99%

Local polynomial approximation and intersection of confidence intervals for removing noise of lightning electric field measurements

Rojas

Cortes

Forero-Mejía³

2018

DYNA

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Lightning electric field (LEF) measurements are aperiodic signals characterized by inherent noise of different sources, i.e., it is not possible to register a noise-free signal. In the last decade, the denoising of LEF measurements has been achieved using some time-frequency representations such as short-time Fourier transform (STFT), wavelet transform (WT) and fractional Fourier transform (FRFT) without definitive results. In this paper, a denoising process applied on LEF measurements using the Local Polynomial Approximation (LPA) is proposed. The window size selection is made by combining the LPA with the intersection of confidence intervals (ICI) algorithm. Furthermore, a cross-validation criterion is used to select the optimal value of the threshold parameter in the LPA-ICI denoising method. It is shown that for different signal-to-noise ratio (SNR) values, the proposed method significantly reduces the noise present in the recorded signals. Finally, a discussion about the processed signatures in terms of some lightning electric field temporal features is performed.Keywords: electric field; intersection of confidence intervals; lightning flash; local polynomial approximation; noise reduction.Aproximación local polinomial e intersección de intervalos de confianza para la remoción de ruido en mediciones de campo eléctrico generado por rayos Resumen Las mediciones de campo eléctrico producido por rayos (LEF) son señales aperiódicas caracterizadas por ruido inherente de diferentes fuentes, es decir, no es posible registrar una señal libre de ruido. En la última década, se ha logrado filtrar mediciones de LEF utilizando algunas representaciones tiempo-frecuencia tales como la transformación de Fourier de corto tiempo (STFT), la transformación wavelet (WT) y la transformación de Fourier fraccionaria (FRFT) sin resultados definitivos. En este trabajo, se propone un proceso de eliminación de ruido aplicado a mediciones de LEF usando la aproximación polinomial local (LPA). La selección del tamaño de la ventana se realiza combinando la LPA con el algoritmo de intersección de intervalos de confianza (ICI). Además, un criterio de validación cruzada se utiliza para seleccionar el valor óptimo del umbral en el método de reducción de ruido LPA-ICI. Se muestra que para diferentes valores de relación señal-a-ruido (SNR), el método propuesto reduce significativamente el ruido presente en las señales registradas. Finalmente, se realiza una discusión sobre las señales procesadas en términos de algunas características temporales del campo eléctrico.Palabras clave: aproximación local polinomial; campo eléctrico; intersección de intervalos de confianza; rayos; reducción de ruido.

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Performance evaluation of M-class synchrophasor estimation using enhanced band-pass FIR filter under a comprehensive integrated compliance test

Kumar,

Kumar

2024

Electr Eng

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Non-parametric estimation of the amplitude ratio of sinusoidal signals with common frequency

Cited by 5 publications

References 23 publications

Power systems frequency estimation using amplitude tracking square wave for low-end protective relays

Power systems frequency estimation using amplitude tracking square wave for low-end protective relays

Local polynomial approximation and intersection of confidence intervals for removing noise of lightning electric field measurements

Performance evaluation of M-class synchrophasor estimation using enhanced band-pass FIR filter under a comprehensive integrated compliance test

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