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Optimal Structuring Element Selection Guidelines of Morphological Filter for Power Quality Signal Denoising

  • Research Article-Electrical Engineering
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Abstract

The structuring element (SE) is a key component of any mathematical morphology (MM) operation and application dependent. However, there are no clear guidelines for the size selection of the SE for denoising application in power quality issues. To solve this problem, voltage sag and swell signals corrupted by white noise and impulse noise are modeled with considerations of the magnitude and position of impulse noise as well as the fault depth. Detailed numerical simulations are carried out to explore the impact of the semicircular SE with a variety of lengths and heights on the performance of morphological opening–closing–closing–opening average (OCCO) filters. Based on simulation results and observations, the impacts of three different factors on the output signal-to-noise ratio (SNR) and the size of the semicircular SE are summarized. Some guidelines for the size selection of the semicircular SE are proposed, which comprehensively considered the denoising effect and processing speed. It will facilitate the rapid implementation of a high-performance morphological filter compared to trial and error.

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Acknowledgements

This work was supported by the Foundation of Liaoning Province Education Administration, China (Grant numbers [LJKZ0623]).

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  1. College of Electrical Engineering, Liaoning University of Technology, 169 Shiying Street, Guta District, 121001, Jinzhou, China

    Qi Liu & Yan Zhang

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  1. Qi Liu
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  2. Yan Zhang
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Correspondence to Yan Zhang.

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Liu, Q., Zhang, Y. Optimal Structuring Element Selection Guidelines of Morphological Filter for Power Quality Signal Denoising. Arab J Sci Eng 48, 14707–14716 (2023). https://doi.org/10.1007/s13369-023-07827-4

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