2026-04-21T04:32:15Zhttps://ebiltegia.mondragon.edu/oai/request
oai:ebiltegia.mondragon.edu:20.500.11984/11042024-03-04T13:54:34Zcom_20.500.11984_473col_20.500.11984_478
eBiltegia author Garramiola, Fernando author del-Olmo, Jon author Madina, Patxi author Almandoz, Gaizka author Poza, Javier 2018-10-24T12:36:17Z 2018-10-24T12:36:17Z 2018 1424-8220 https://katalogoa.mondragon.edu/janium-bin/janium_login_opac.pl?find&ficha_no=147662 https://hdl.handle.net/20.500.11984/1104 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. eng © 2018 by the authors sensor fault diagnosis diagnostic observer fault injection railway traction drive frequency analysis Integral Sensor Fault Detection and Isolation for Railway Traction Drive http://purl.org/coar/resource_type/c_6501 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URL http://ebiltegia.mondragon.edu/xmlui/bitstream/20.500.11984/1104/1/Sensors-18-01543.pdf File MD5 f8b42e617daebd9c66854a08cfe0db74 16306420 application/pdf Sensors-18-01543.pdf URL http://ebiltegia.mondragon.edu/xmlui/bitstream/20.500.11984/1104/6/Sensors-18-01543.pdf.txt File MD5 6f1a1f6a630c5b0904af7de62ae5bfb4 111971 text/plain Sensors-18-01543.pdf.txt