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Train Wheel Condition Monitoring via Cepstral Analysis of Axle Box Accelerations

Baasch, Benjamin and Heusel, Judith and Roth, Michael Helmut and Neumann, Thorsten (2021) Train Wheel Condition Monitoring via Cepstral Analysis of Axle Box Accelerations. Applied Sciences, 11 (4). Multidisciplinary Digital Publishing Institute (MDPI). doi: 10.3390/app11041432. ISSN 2076-3417.

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Official URL: https://www.mdpi.com/2076-3417/11/4/1432

Abstract

Continuous wheel condition monitoring is indispensable for the early detection of wheel defects. In this paper, we provide an approach based on cepstral analysis of axle-box accelerations (ABA). It is applied to the data in the spatial domain, which is why we introduce a new data representation called navewumber domain. In this domain, the wheel circumference and hence the wear of the wheel can be monitored. Furthermore, the amplitudes of peaks in the navewumber domain indicate the severity of possible wheel defects. We demonstrate our approach on simple synthetic data and real data gathered with an on-board multi-sensor system. The speed information obtained from fusing global navigation satellite system (GNSS) and inertial measurement unit (IMU) data is used to transform the data from time to space. The data acquisition was performed with a measurement train under normal operating conditions in the mainline railway network of Austria. We can show that our approach provides robust features that can be used for on-board wheel condition monitoring. Therefore, it enables further advances in the field of condition based and predictive maintenance of railway wheels.

Item URL in elib:https://elib.dlr.de/139839/
Document Type:Article
Title:Train Wheel Condition Monitoring via Cepstral Analysis of Axle Box Accelerations
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Baasch, BenjaminBenjamin.Baasch (at) dlr.dehttps://orcid.org/0000-0003-1970-3964
Heusel, JudithJudith.Heusel (at) dlr.deUNSPECIFIED
Roth, Michael HelmutM.Roth (at) dlr.dehttps://orcid.org/0000-0002-4812-346X
Neumann, ThorstenThorsten.Neumann (at) dlr.dehttps://orcid.org/0000-0002-9236-0585
Date:5 February 2021
Journal or Publication Title:Applied Sciences
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:11
DOI :10.3390/app11041432
Publisher:Multidisciplinary Digital Publishing Institute (MDPI)
Series Name:Special Issue Monitoring and Maintenance Systems for Railway Infrastructure
ISSN:2076-3417
Status:Published
Keywords:cepstrum; condition monitoring; condition-based maintenance; navewumber; vibration analysis; wheel defects
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Transport
HGF - Program Themes:Rail Transport
DLR - Research area:Transport
DLR - Program:V SC Schienenverkehr
DLR - Research theme (Project):V - Digitalisierung und Automatisierung des Bahnsystems
Location: Berlin-Adlershof , Braunschweig
Institutes and Institutions:Institute of Transportation Systems > Data Management and Knowledge Discovery
Deposited By: Baasch, Benjamin
Deposited On:09 Feb 2021 13:41
Last Modified:09 Feb 2021 13:41

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