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Adaptive Filter Bank Based on Independent Component Analysis for Harmonic, Inter-Harmonic and Sub-Harmonic Extraction

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Abstract

In the present work, an adaptive filter bank based on independent component analysis (ICA) for harmonic, inter-harmonic and sub-harmonic extraction from voltage signals is proposed. The first stage of the proposed method comprises in generating a multi-channel data representation by using a finite impulse response (FIR) filter bank. In the second stage, this multi-channel representation is presented to the ICA algorithm, which extracts the harmonic, sub-harmonic and inter-harmonic components from the monitored signal. The method was evaluated with three simulated cases, considering harmonics, inter-harmonics, sub-harmonics and voltage sag, and a real signal acquired from a 13.8 kV arc furnace corrupted by harmonics, supra-harmonics, flicker and sag. The influence of noise and disturbances, the size of the processing signal window and the computational complexity of the proposed method were investigated. The results showed that the method was able to extract the disturbance components present in the signal accurately and with lower computationally complexity in comparison with the classical ICA-based method.

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Acknowledgements

This work was carried out with support from the Coordination for the Improvement of Higher Education Personnel - Brazil (CAPES) - Improvement Code 001, the National Council for Scientific and Technological Development (CNPq) and the Minas Gerais Research Support Foundation (FAPEMIG ).

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Authors and Affiliations

  1. CARISSMA Institute of Electric, Connected and Secure Mobility (C-ECOS), Technische Hoschule Ingolstadt (THI), Esplanade 10, 85049, Ingolstadt, Bayern, Germany

    Carlos Antônio Rufino Júnior

  2. Department of Electric Circuits, Federal University of Juiz de Fora, Campus Universitário, Street José Lourenço Kelmer, s/n - Sāo Pedro, Juiz de Fora, Minas Gerais, 36036-900, Brazil

    Marcelo Antônio Alves Lima

  3. University Center of Lavras, Unilavras, Street Padre José Poggel, 506 - Padre Dehon, Lavras, Minas Gerais, 37203-593, Brazil

    Thais Martins Mendes

  4. Institute of Science, Technology and Innovation of Sāo Sebastiāo do Paraíso, Federal University of Lavras, Street Antônio Carlos Pinheiro de Alcântara, 855 - Jardim Mediterraneé, Sāo Sebastiāo do Paraíso, Minas Gerais, 37950-000, Brazil

    Henrique Luis Moreira Monteiro

  5. Department of Automatic, Federal University of Lavras, Campus Universitário - Aquenta Sol, Lavras, Minas Gerais, 37200-900, Brazil

    Danton Diego Ferreira

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  1. Carlos Antônio Rufino Júnior
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  2. Marcelo Antônio Alves Lima
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  5. Danton Diego Ferreira
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Correspondence to Danton Diego Ferreira.

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Júnior, C.A.R., Lima, M.A.A., Mendes, T.M. et al. Adaptive Filter Bank Based on Independent Component Analysis for Harmonic, Inter-Harmonic and Sub-Harmonic Extraction. Circuits Syst Signal Process 41, 7077–7100 (2022). https://doi.org/10.1007/s00034-022-02114-3

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  • DOI: https://doi.org/10.1007/s00034-022-02114-3

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