TBMF Framework: A Transformer-Based Multilevel Filtering Framework for PD Detection

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27730%2F23%3A10252664" target="_blank" >RIV/61989100:27730/23:10252664 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/61989100:27240/23:10252664

Výsledek na webu

<a href="https://ieeexplore.ieee.org/document/10124857/metrics#metrics" target="_blank" >https://ieeexplore.ieee.org/document/10124857/metrics#metrics</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/TIE.2023.3274881" target="_blank" >10.1109/TIE.2023.3274881</a>

Jazyk výsledku

angličtina

Název v původním jazyce

TBMF Framework: A Transformer-Based Multilevel Filtering Framework for PD Detection

Popis výsledku v původním jazyce

Partial discharge (PD) of overhead lines is an indication of imminent dielectric breakdown and a cause of insulation degradation. Efficient PD detection is the significant foundation of electrical system maintenance. This paper proposes a transformer-based multilevel filtering (TBMF) framework for PD detection. It creates the multilevel filtering mechanism to be robust to large-scale industrial measurements contaminated with a variety of background noises and plenty of invalid information. The primary filtering innovatively creates the principle of possible PD measurements to replace feature extraction and reduce manual intervention. For the first time, multiple transformer-based algorithms are introduced to the PD detection field to process the possible PD measurements without relying on the sequence order. The secondary filtering then refines the segmentation-level results from the primary filtering and outputs the overall detection results. Multiple numerical algorithms, AI models, and intelligent meta-heuristic optimization have been adopted as methodologies of the secondary filtering. The TBMF framework is experimentally verified by extensive field trial data of medium voltage overhead power lines. Its detection accuracy reaches 96.1&lt;inline-formula&gt;&lt;tex-math notation=&quot;LaTeX&quot;&gt;$%$&lt;/tex-math&gt;&lt;/inline-formula&gt;, which outperforms other techniques in the literature. It provides an economic and complete PD detection solution to maintain the economical and safe operation of power systems. IEEE

Název v anglickém jazyce

TBMF Framework: A Transformer-Based Multilevel Filtering Framework for PD Detection

Popis výsledku anglicky

Partial discharge (PD) of overhead lines is an indication of imminent dielectric breakdown and a cause of insulation degradation. Efficient PD detection is the significant foundation of electrical system maintenance. This paper proposes a transformer-based multilevel filtering (TBMF) framework for PD detection. It creates the multilevel filtering mechanism to be robust to large-scale industrial measurements contaminated with a variety of background noises and plenty of invalid information. The primary filtering innovatively creates the principle of possible PD measurements to replace feature extraction and reduce manual intervention. For the first time, multiple transformer-based algorithms are introduced to the PD detection field to process the possible PD measurements without relying on the sequence order. The secondary filtering then refines the segmentation-level results from the primary filtering and outputs the overall detection results. Multiple numerical algorithms, AI models, and intelligent meta-heuristic optimization have been adopted as methodologies of the secondary filtering. The TBMF framework is experimentally verified by extensive field trial data of medium voltage overhead power lines. Its detection accuracy reaches 96.1&lt;inline-formula&gt;&lt;tex-math notation=&quot;LaTeX&quot;&gt;$%$&lt;/tex-math&gt;&lt;/inline-formula&gt;, which outperforms other techniques in the literature. It provides an economic and complete PD detection solution to maintain the economical and safe operation of power systems. IEEE

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

20200 - Electrical engineering, Electronic engineering, Information engineering

Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

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

Rok uplatnění

2023

Kód důvěrnosti údajů

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

Název periodika

IEEE Transactions on Industrial Electronics

ISSN

0278-0046

e-ISSN

1557-9948

Svazek periodika

4

Číslo periodika v rámci svazku

71

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

10

Strana od-do

1-10

Kód UT WoS článku

001103021200080

EID výsledku v databázi Scopus

2-s2.0-85162858417