Analysis of windowed dynamical electrical signals through orthogonal basis and the Kalman Filter

Conference Paper (2020)
Author(s)

E. Cortez (The University of Guadalajara)

F.A. Uribe (The University of Guadalajara)

P. Zuñiga (The University of Guadalajara)

Jose de Jesus Chavez (TU Delft - Intelligent Electrical Power Grids)

Research Group
Intelligent Electrical Power Grids
DOI related publication
https://doi.org/10.1109/ROPEC50909.2020.9258720
More Info
expand_more
Publication Year
2020
Language
English
Research Group
Intelligent Electrical Power Grids
Pages (from-to)
1-7
ISBN (print)
978-1-7281-9954-2
ISBN (electronic)
978-1-7281-9953-5

Abstract

An orthogonal vector analysis of windowed dynamical electrical signals with a Kalman filter tracking is proposed in this paper. Based on The Fourier Series Theory, the correlation of the signal coefficient that minimizes the error energy is obtained to extract the sinusoid component of the dynamical electrical signal. Further, The Kalman Filter is applied to track the hidden time-frequency behavior. The proposed algorithm is validated by comparing the response of The Kalman Filter estimation of the naive signal and the approximated one with the discrete Fourier transform. The results suggest that the proposed method is able to improve the Kalman response when treating with signals with non-linear dynamical properties.

No files available

Metadata only record. There are no files for this record.