Towards the text compression based feature extraction in high impedance fault detection

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F19%3A10242173" target="_blank" >RIV/61989100:27240/19:10242173 - isvavai.cz</a>

Alternative codes found

RIV/61989100:27730/19:10242173

Result on the web

<a href="https://www.mdpi.com/1996-1073/12/11/2148" target="_blank" >https://www.mdpi.com/1996-1073/12/11/2148</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3390/en12112148" target="_blank" >10.3390/en12112148</a>

Result language

angličtina

Original language name

Towards the text compression based feature extraction in high impedance fault detection

Original language description

High impedance faults of medium voltage overhead lines with covered conductors can be identified by the presence of partial discharges. Despite it is a subject of research for more than 60 years, online partial discharges detection is always a challenge, especially in environment with heavy background noise. In this paper, a new approach for partial discharge pattern recognition is presented. All results were obtained on data, acquired from real 22 kV medium voltage overhead power line with covered conductors. The proposed method is based on a text compression algorithm and it serves as a signal similarity estimation, applied for the first time on partial discharge pattern. Its relevancy is examined by three different variations of classification model. The improvement gained on an already deployed model proves its quality. (C) 2019 by the authors.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

20205 - Automation and control systems

Project

Result was created during the realization of more than one project. More information in the Projects tab.

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year

2019

Confidentiality

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

Name of the periodical

Energies

ISSN

1996-1073

e-ISSN

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Volume of the periodical

12

Issue of the periodical within the volume

11

Country of publishing house

CH - SWITZERLAND

Number of pages

13

Pages from-to

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UT code for WoS article

000472635900115

EID of the result in the Scopus database

2-s2.0-85066963127