A Novel Arc Detection Method for DC Railway Systems

Electric arcing due to contact interruption between the pantograph and the overhead contact line in electrified railway networks is an important and unwanted phenomenon. Arcing events are short-term power quality disturbances that produce significant electromagnetic disturbances both conducted and r...

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Main Authors: Yljon Seferi, Steven M. Blair, Christian Mester, Brian G. Stewart
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:Energies
Subjects:
Online Access:https://www.mdpi.com/1996-1073/14/2/444
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author Yljon Seferi
Steven M. Blair
Christian Mester
Brian G. Stewart
author_facet Yljon Seferi
Steven M. Blair
Christian Mester
Brian G. Stewart
author_sort Yljon Seferi
collection DOAJ
description Electric arcing due to contact interruption between the pantograph and the overhead contact line in electrified railway networks is an important and unwanted phenomenon. Arcing events are short-term power quality disturbances that produce significant electromagnetic disturbances both conducted and radiated as well as increased degradation on contact wire and contact strip of the pantograph. Early-stage detection can prevent further deterioration of the current collection quality, reduce excessive wear in the pantograph-catenary system, and mitigate failure of the pantograph contact strip. This paper presents a novel arc detection method for DC railway networks. The method quantifies the rate-of-change of the instantaneous phase of the oscillating pantograph current signal during an arc occurrence through the Hilbert transform. Application of the method to practical pantograph current data measurements, demonstrates that phase derivative is a useful parameter for detecting and localizing significant power quality disturbances due to electric arcs during both coasting and regenerative braking phases of a running locomotive. The detected number of arcs may be used to calculate the distribution of the arcs per kilometre as an alternative estimation of the current collection quality index and consequently used to assess the pantograph-catenary system performance. The detected arc number may also contribute to lowering predictive maintenance costs of pantograph-catenary inspections works as these can be performed only at determined sections of the line extracted by using arcing time locations and speed profiles of the locomotive.
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spelling doaj.art-d48ec4b3296447c49f6b39084b2c0cff2023-12-03T13:22:02ZengMDPI AGEnergies1996-10732021-01-0114244410.3390/en14020444A Novel Arc Detection Method for DC Railway SystemsYljon Seferi0Steven M. Blair1Christian Mester2Brian G. Stewart3Department of Electronic and Electrical Engineering, University of Strathclyde, Glasgow G1 1XQ, UKDepartment of Electronic and Electrical Engineering, University of Strathclyde, Glasgow G1 1XQ, UKFederal Institute of Metrology METAS, Lindenweg 50, 3003 Bern-Wabern, SwitzerlandDepartment of Electronic and Electrical Engineering, University of Strathclyde, Glasgow G1 1XQ, UKElectric arcing due to contact interruption between the pantograph and the overhead contact line in electrified railway networks is an important and unwanted phenomenon. Arcing events are short-term power quality disturbances that produce significant electromagnetic disturbances both conducted and radiated as well as increased degradation on contact wire and contact strip of the pantograph. Early-stage detection can prevent further deterioration of the current collection quality, reduce excessive wear in the pantograph-catenary system, and mitigate failure of the pantograph contact strip. This paper presents a novel arc detection method for DC railway networks. The method quantifies the rate-of-change of the instantaneous phase of the oscillating pantograph current signal during an arc occurrence through the Hilbert transform. Application of the method to practical pantograph current data measurements, demonstrates that phase derivative is a useful parameter for detecting and localizing significant power quality disturbances due to electric arcs during both coasting and regenerative braking phases of a running locomotive. The detected number of arcs may be used to calculate the distribution of the arcs per kilometre as an alternative estimation of the current collection quality index and consequently used to assess the pantograph-catenary system performance. The detected arc number may also contribute to lowering predictive maintenance costs of pantograph-catenary inspections works as these can be performed only at determined sections of the line extracted by using arcing time locations and speed profiles of the locomotive.https://www.mdpi.com/1996-1073/14/2/444pantograph-catenary systemcurrent collection qualityarc detectionpredictive maintenancerailway electrical networksHilbert transform
spellingShingle Yljon Seferi
Steven M. Blair
Christian Mester
Brian G. Stewart
A Novel Arc Detection Method for DC Railway Systems
Energies
pantograph-catenary system
current collection quality
arc detection
predictive maintenance
railway electrical networks
Hilbert transform
title A Novel Arc Detection Method for DC Railway Systems
title_full A Novel Arc Detection Method for DC Railway Systems
title_fullStr A Novel Arc Detection Method for DC Railway Systems
title_full_unstemmed A Novel Arc Detection Method for DC Railway Systems
title_short A Novel Arc Detection Method for DC Railway Systems
title_sort novel arc detection method for dc railway systems
topic pantograph-catenary system
current collection quality
arc detection
predictive maintenance
railway electrical networks
Hilbert transform
url https://www.mdpi.com/1996-1073/14/2/444
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