Improvement of Functional Safety of the Level-Crossing Barrier Machine by a Noninvasive Angle-Detection Method

Roman Pawelczyk; Damian Grzechca

doi:10.1109/MDAT.2022.3156010

Improvement of Functional Safety of the Level-Crossing Barrier Machine by a Noninvasive Angle-Detection Method

Roman Pawelczyk
, Damian Grzechca

Katedra Elektroniki, Elektrotechniki i Mikroelektroniki (RAU/RAU11)

ALSTOM ZWUS Sp. z o.o.
Silesian University of Technology

Wyniki badań: Wkład do czasopisma › Artykuł › recenzja

1 Cytowanie z bazy Scopus

Abstrakt

Editor's notes: This article presents a solution to the problem of reliably detecting the position of barrier booms in automatic level-crossing systems. The solution relies on observing the shape of the motor power supply current waveform. The solution is validated using a test stand equivalent to a typical level-crossing system installation.

Język oryginału	angielski
Strony (od–do)	43-53
Liczba stron	11
Czasopismo	IEEE Design and Test
Tom	39
Numer wydania	5
Identyfikatory DOI	https://doi.org/10.1109/MDAT.2022.3156010
Status publikacji	Opublikowano - 1 paź 2022

Obszary tematyczne ASJC Scopus

Oprogramowanie
Sprzęt i architektura
Inżynieria elektryczna i elektroniczna

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10.1109/MDAT.2022.3156010

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title = "Improvement of Functional Safety of the Level-Crossing Barrier Machine by a Noninvasive Angle-Detection Method",

abstract = "Editor's notes: This article presents a solution to the problem of reliably detecting the position of barrier booms in automatic level-crossing systems. The solution relies on observing the shape of the motor power supply current waveform. The solution is validated using a test stand equivalent to a typical level-crossing system installation.",

keywords = "angle detection, barrier machine, functional safety, level crossing, machine learning, neural networks, supply current",

author = "Roman Pawelczyk and Damian Grzechca",

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AU - Grzechca, Damian

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N2 - Editor's notes: This article presents a solution to the problem of reliably detecting the position of barrier booms in automatic level-crossing systems. The solution relies on observing the shape of the motor power supply current waveform. The solution is validated using a test stand equivalent to a typical level-crossing system installation.

AB - Editor's notes: This article presents a solution to the problem of reliably detecting the position of barrier booms in automatic level-crossing systems. The solution relies on observing the shape of the motor power supply current waveform. The solution is validated using a test stand equivalent to a typical level-crossing system installation.

KW - angle detection

KW - barrier machine

KW - functional safety

KW - level crossing

KW - machine learning

KW - neural networks

KW - supply current

UR - https://www.scopus.com/pages/publications/85126535464

U2 - 10.1109/MDAT.2022.3156010

DO - 10.1109/MDAT.2022.3156010

M3 - Article

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Improvement of Functional Safety of the Level-Crossing Barrier Machine by a Noninvasive Angle-Detection Method

Abstrakt

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