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

Department of Electronics; Electrical Engineering and Microelectronics (RAU/RAU11)

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

Research output: Contribution to journal › Article › peer-review

1 Citation (Scopus)

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.

Original language	English
Pages (from-to)	43-53
Number of pages	11
Journal	IEEE Design and Test
Volume	39
Issue number	5
DOIs	https://doi.org/10.1109/MDAT.2022.3156010
Publication status	Published - 1 Oct 2022

Keywords

angle detection
barrier machine
functional safety
level crossing
machine learning
neural networks
supply current

ASJC Scopus subject areas

Software
Hardware and Architecture
Electrical and Electronic Engineering

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10.1109/MDAT.2022.3156010

Cite this

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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.",

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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.

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KW - level crossing

KW - machine learning

KW - neural networks

KW - supply current

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

Abstract

Keywords

ASJC Scopus subject areas

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