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Sensors 2018, 18(5), 1543; https://doi.org/10.3390/s18051543

Integral Sensor Fault Detection and Isolation for Railway Traction Drive

Faculty of Engineering, Mondragon Unibertsitatea, 20500 Arrasate - Mondragón, Spain
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Received: 20 March 2018 / Revised: 25 April 2018 / Accepted: 11 May 2018 / Published: 13 May 2018
(This article belongs to the Special Issue Sensors for Fault Detection)
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Abstract

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. View Full-Text
Keywords: sensor fault diagnosis; diagnostic observer; fault injection; railway traction drive; frequency analysis sensor fault diagnosis; diagnostic observer; fault injection; railway traction drive; frequency analysis
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
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Garramiola, F.; del Olmo, J.; Poza, J.; Madina, P.; Almandoz, G. Integral Sensor Fault Detection and Isolation for Railway Traction Drive. Sensors 2018, 18, 1543.

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