Noise Source Effect on the Quality of Mother Wavelet Selection for Partial Discharge Denoising

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F24%3A10255876" target="_blank" >RIV/61989100:27240/24:10255876 - isvavai.cz</a>
Alternative codes found
RIV/61989100:27730/24:10255876
Result on the web
<a href="https://ieeexplore.ieee.org/document/10679118" target="_blank" >https://ieeexplore.ieee.org/document/10679118</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ACCESS.2024.3459474" target="_blank" >10.1109/ACCESS.2024.3459474</a>

Result language
angličtina
Original language name
Noise Source Effect on the Quality of Mother Wavelet Selection for Partial Discharge Denoising
Original language description
This study evaluates wavelet-based denoising techniques for partial discharge signals, specifically Damped Exponential Pulse (DEP) and Damped Oscillatory Pulse (DOP) types. We analyzed 63 wavelets across multiple families under four noise profiles: AM radio noise, white Gaussian noise, impulsive noise, and random noise. Performance metrics included Signal-to-Noise Ratio (SNR) improvement, energy preservation, and correlation coefficient. Our findings show significant variations in wavelet performance based on noise conditions. For AM radio noise, wavelets from the rbior and bior families achieved SNR improvements of up to 25.75 dB with excellent energy preservation. Under AWGN, several wavelets, especially for DOP signals, also reached SNR improvements of 25.75 dB. For impulsive noise, wavelets from the fk14 and dmey families performed well, particularly for DEP signals. In random noise conditions, simpler wavelets from the db family were effective for certain signal types. These results suggest significant potential for developing more effective real-time PD monitoring systems, enhancing detection sensitivity and classification accuracy, and improving maintenance strategies for high-voltage electrical equipment.
Czech name
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Czech description
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Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
20200 - Electrical engineering, Electronic engineering, Information engineering

Project
<a href="/en/project/TN02000025" target="_blank" >TN02000025: National Centre for Energy II</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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