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Integral Sensor Fault Detection and Isolation for Railway Traction Drive

Due to the increasing importance of reliability and availability of electric traction drives in Railway applications, early detection of faults has become an important key for Railway traction drive manufacturers. Sensor faults are important sources of failures. Among the different fault diagnosis a...

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Autores principales: Garramiola, Fernando, del Olmo, Jon, Poza, Javier, Madina, Patxi, Almandoz, Gaizka
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5982243/
https://www.ncbi.nlm.nih.gov/pubmed/29757251
http://dx.doi.org/10.3390/s18051543
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author Garramiola, Fernando
del Olmo, Jon
Poza, Javier
Madina, Patxi
Almandoz, Gaizka
author_facet Garramiola, Fernando
del Olmo, Jon
Poza, Javier
Madina, Patxi
Almandoz, Gaizka
author_sort Garramiola, Fernando
collection PubMed
description Due to the increasing importance of reliability and availability of electric traction drives in Railway applications, early detection of faults has become an important key for Railway traction drive manufacturers. Sensor faults are important sources of failures. Among the different fault diagnosis approaches, in this article an integral diagnosis strategy for sensors in traction drives is presented. Such strategy is composed of an observer-based approach for direct current (DC)-link voltage and catenary current sensors, a frequency analysis approach for motor current phase sensors and a hardware redundancy solution for speed sensors. None of them requires any hardware change requirement in the actual traction drive. All the fault detection and isolation approaches have been validated in a Hardware-in-the-loop platform comprising a Real Time Simulator and a commercial Traction Control Unit for a tram. In comparison to safety-critical systems in Aerospace applications, Railway applications do not need instantaneous detection, and the diagnosis is validated in a short time period for reliable decision. Combining the different approaches and existing hardware redundancy, an integral fault diagnosis solution is provided, to detect and isolate faults in all the sensors installed in the traction drive.
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spelling pubmed-59822432018-06-05 Integral Sensor Fault Detection and Isolation for Railway Traction Drive Garramiola, Fernando del Olmo, Jon Poza, Javier Madina, Patxi Almandoz, Gaizka Sensors (Basel) Article Due to the increasing importance of reliability and availability of electric traction drives in Railway applications, early detection of faults has become an important key for Railway traction drive manufacturers. Sensor faults are important sources of failures. Among the different fault diagnosis approaches, in this article an integral diagnosis strategy for sensors in traction drives is presented. Such strategy is composed of an observer-based approach for direct current (DC)-link voltage and catenary current sensors, a frequency analysis approach for motor current phase sensors and a hardware redundancy solution for speed sensors. None of them requires any hardware change requirement in the actual traction drive. All the fault detection and isolation approaches have been validated in a Hardware-in-the-loop platform comprising a Real Time Simulator and a commercial Traction Control Unit for a tram. In comparison to safety-critical systems in Aerospace applications, Railway applications do not need instantaneous detection, and the diagnosis is validated in a short time period for reliable decision. Combining the different approaches and existing hardware redundancy, an integral fault diagnosis solution is provided, to detect and isolate faults in all the sensors installed in the traction drive. MDPI 2018-05-13 /pmc/articles/PMC5982243/ /pubmed/29757251 http://dx.doi.org/10.3390/s18051543 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Garramiola, Fernando
del Olmo, Jon
Poza, Javier
Madina, Patxi
Almandoz, Gaizka
Integral Sensor Fault Detection and Isolation for Railway Traction Drive
title Integral Sensor Fault Detection and Isolation for Railway Traction Drive
title_full Integral Sensor Fault Detection and Isolation for Railway Traction Drive
title_fullStr Integral Sensor Fault Detection and Isolation for Railway Traction Drive
title_full_unstemmed Integral Sensor Fault Detection and Isolation for Railway Traction Drive
title_short Integral Sensor Fault Detection and Isolation for Railway Traction Drive
title_sort integral sensor fault detection and isolation for railway traction drive
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5982243/
https://www.ncbi.nlm.nih.gov/pubmed/29757251
http://dx.doi.org/10.3390/s18051543
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