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

Kód výsledku v 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>

Nalezeny alternativní kódy

RIV/61989100:27730/24:10255876

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

20200 - Electrical engineering, Electronic engineering, Information engineering

Projekt

<a href="/cs/project/TN02000025" target="_blank" >TN02000025: Národní centrum pro energetiku II</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2024

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

IEEE Access

ISSN

2169-3536

e-ISSN

—

Svazek periodika

12

Číslo periodika v rámci svazku

12, 2024

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

15

Strana od-do

132729-132743

Kód UT WoS článku

001327316200001

EID výsledku v databázi Scopus

2-s2.0-85204204694