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Paper number

93

Working Group Number

Conference name

CIRED 2019

Conference date

3-6 June 2019

Conference location

Madrid, Spain

Peer-reviewed

Yes

Short title

Convener

Authors

Jayaseelan, Sathiswar, TUE, Netherlands
Pondes, Albert, Enexis, Netherlands
Deursen van, Armand, TUE, Netherlands
Slootweg, Han, Eindhoven University of Technology / Enexis Netbeheer, Netherlands

Abstract

Circuit breakers are used to protect electrical networks and components from damages caused by high currents, resulting from overloads or short circuits. Malfunctioning of Medium Voltage (MV) circuit breakers often leads to a longer outage time and the outage spreads ­­to broader areas. Therefore, it is of great importance that the circuit breakers function properly. In order to test the proper working of MV circuit breakers, manual periodic measurements are carried out and the results are interpreted visually by the operator. This process requires much time, money and workforce. This paper discusses the possibility of automating the circuit breaker measurement system and subsequently the data analysis. An economical new tool was developed for automating the measurement system and a novel model was developed using machine learning for automating the data analysis process.

Table of content

Keywords

Publisher

AIM

Date

2019-06-03

Permanent link to this record

https://cired-repository.org/handle/20.500.12455/282
http://dx.doi.org/10.34890/513

ISSN

2032-9644

ISBN

978-2-9602415-0-1