<div class="csl-bib-body">
<div class="csl-entry">Rodriguez Montero, E., Vogelsberger, M., Cedric Zanutti, & Wolbank, T. (2025). Novel Encoderless Detection of Motor-Bogie Suspension Failure in Railway Applications. In <i>IECON 2025 – 51st Annual Conference of the IEEE Industrial Electronics Society</i> (pp. 1–6). https://doi.org/10.1109/IECON58223.2025.11221558</div>
</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/224819
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dc.description.abstract
In electric rail transportation, traction motors are responsible for propulsion and transmit torque to the bogie wheelsets through a gear drive system. Typically, each traction motor is fixed to the bogie frame using a suspension system and thus motors might withstand a large amount of shock and vibration arising from wheel to track contact. With developing fatigue, the motor-bogie suspension might fail. To prevent destructive contact between motor and track, bogies are often equipped with an additional safety apparatus: a safety bar fixed to the bogie frame that is axially aligned with a motor-fixed safety catch when suspension is healthy. This is the last protective measure that prevents the motor from falling to the track and, thus, it is of tremendous importance to reliably and quickly determine suspension faults. While the motor-bogie suspension is broken, the motor can move up or down within the safety catch. This results in small but abrupt angular movements of the rotor after torque transients take place. Thus, detection of motor-bogie suspension fault can be detected by inspection of the shaft encoder signal or speed sensor signal under load changes. In this work, a novel detection method for motor-bogie suspension fault is presented, using spatial saliency information extraction thus only requiring current transducers and no traditional shaft encoder nor additional sensors. The transient spectra of the motor saliencies are used to define a trigger that serves to detect motor suspension failure during a test. The method is experimentally validated in a test bench equipped with a 1.6MW locomotive traction motor and a suspension-fault emulation system.
en
dc.language.iso
en
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dc.subject
Fault Detection
en
dc.subject
Rail Transportation
en
dc.subject
Sensorless Control
en
dc.subject
Suspensions
en
dc.subject
Traction Motor
en
dc.title
Novel Encoderless Detection of Motor-Bogie Suspension Failure in Railway Applications
en
dc.type
Inproceedings
en
dc.type
Konferenzbeitrag
de
dc.contributor.affiliation
ALSTOM Germany GmbH
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dc.relation.isbn
979-8-3315-9681-1
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dc.relation.issn
979-8-3315-9681-1
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dc.description.startpage
1
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dc.description.endpage
6
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dc.type.category
Full-Paper Contribution
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tuw.booktitle
IECON 2025 – 51st Annual Conference of the IEEE Industrial Electronics Society
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tuw.peerreviewed
true
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tuw.researchTopic.id
E2
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tuw.researchTopic.name
Sustainable and Low Emission Mobility
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tuw.researchTopic.value
100
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tuw.publication.orgunit
E370-02 - Forschungsbereich Elektrische Antriebe und Maschinen
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tuw.publication.orgunit
E369-02 - Forschungsbereich Leistungselektronik
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tuw.publisher.doi
10.1109/IECON58223.2025.11221558
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dc.description.numberOfPages
6
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tuw.author.orcid
0000-0001-8835-1312
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tuw.event.name
51st Annual Conference of the IEEE Industrial Electronics Society (IECON 2025)
en
tuw.event.startdate
14-10-2025
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tuw.event.enddate
17-10-2025
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tuw.event.online
On Site
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tuw.event.type
Event for scientific audience
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tuw.event.place
Madrid
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tuw.event.country
ES
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tuw.event.institution
IEEE Industrial Electronics Society
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tuw.event.presenter
Rodriguez Montero, Eduardo
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tuw.event.track
Multi Track
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wb.sciencebranch
Elektrotechnik, Elektronik, Informationstechnik
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wb.sciencebranch.oefos
2020
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wb.sciencebranch.value
100
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item.openairetype
conference paper
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item.openairecristype
http://purl.org/coar/resource_type/c_5794
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item.cerifentitytype
Publications
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item.languageiso639-1
en
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item.grantfulltext
none
-
item.fulltext
no Fulltext
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crisitem.author.dept
E370-02 - Forschungsbereich Elektrische Antriebe und Maschinen
-
crisitem.author.dept
E369-02 - Forschungsbereich Leistungselektronik
-
crisitem.author.dept
ALSTOM Germany GmbH
-
crisitem.author.dept
E370-02 - Forschungsbereich Elektrische Antriebe und Maschinen
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crisitem.author.orcid
0000-0001-8835-1312
-
crisitem.author.orcid
0000-0001-8823-5565
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crisitem.author.parentorg
E370 - Institut für Energiesysteme und Elektrische Antriebe
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crisitem.author.parentorg
E369 - Institut für Mechatronik und Leistungselektronik
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crisitem.author.parentorg
E370 - Institut für Energiesysteme und Elektrische Antriebe