On-board tracking of polygonal wear propagation on a measuring tram

To study the propagation of wheel polygonal wear in a case study, a long-term test was performed using a measuring tram to collect continuous data during regular operation. The collected measurement data were localised using a map-matching algorithm. An increase in the signal power of the axle box accelerations was observed continuously over a 5-month measurement period and a mileage of 33,000 km. The concept of virtual measuring stations is introduced to separate excitations from the wheel and rail. The harmonic out-of-roundness is tracked using order decomposition of axle box acceleration, and an exponential growth of the dominant polygons is observed. A self-reinforcing effect of polygonal wear is proven. The quantified growth rate indicates a doubling of the polygon amplitude after approximately 20,000 km. According to the representative distribution of velocity and curve radius, polygonal wheel wear occurs in the frequency range 48–75 Hz. As a root cause, a P2-like mode dominated by axle arch bending is discussed, which falls within the wear frequency range, particularly for embedded tracks. The standard error of regression (SER) and the distribution of the residuals εres(f) are suitable for evaluating the quality of virtual measuring stations.

Authors

Institutions

Publication Details

Journal
Vehicle System Dynamics
Published
2026-06-26
DOI
https://doi.org/10.1080/00423114.2026.2692717
Primary Topic
Electrical Contact Performance and Analysis
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

On-board tracking of polygonal wear propagation on a measuring tram

Michael Beitelschmidt, Fabian Wendrock
Vehicle System Dynamics
Electrical Contact Performance and Analysis
article

On-board tracking of polygonal wear propagation on a measuring tram

Michael Beitelschmidt, Fabian Wendrock
article en

Abstract

To study the propagation of wheel polygonal wear in a case study, a long-term test was performed using a measuring tram to collect continuous data during regular operation. The collected measurement data were localised using a map-matching algorithm. An increase in the signal power of the axle box accelerations was observed continuously over a 5-month measurement period and a mileage of 33,000 km. The concept of virtual measuring stations is introduced to separate excitations from the wheel and rail. The harmonic out-of-roundness is tracked using order decomposition of axle box acceleration, and an exponential growth of the dominant polygons is observed. A self-reinforcing effect of polygonal wear is proven. The quantified growth rate indicates a doubling of the polygon amplitude after approximately 20,000 km. According to the representative distribution of velocity and curve radius, polygonal wheel wear occurs in the frequency range 48–75 Hz. As a root cause, a P2-like mode dominated by axle arch bending is discussed, which falls within the wear frequency range, particularly for embedded tracks. The standard error of regression (SER) and the distribution of the residuals εres(f) are suitable for evaluating the quality of virtual measuring stations.

Vehicle System Dynamics
Technische Universität Dresden (DE)
Bundesministerium für Verkehr und Digitale Infrastruktur
Openalex Percentile: Top 12%
Electrical Contact Performance and Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

On-board tracking of polygonal wear propagation on a measuring tram — Michael Beitelschmidt, Fabian Wendrock · Vehicle System Dynamics (2026) | TGRS Research Map | TGRS