2022
DOI: 10.1080/00423114.2022.2085585
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A new hybrid approach to predict worn wheel profile shapes

Abstract: Wheel maintenance is a complex process whose costs can be reduced with good planning. One of the main difficulties is the prediction of a worn wheel profile shape on a train. With existing modelling approaches, it is possible to predict a worn wheel profile quickly and accurately for a unique operating situation. For varying operating scenarios, it is a more time-consuming process and often less accurate manner because so many, sometimes even unknown, input data are needed. With the new hybrid approach develop… Show more

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Cited by 3 publications
(2 citation statements)
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“…Simulation methods for wheel-rail wear can be divided into two categories: datadriven [5,6] and model-based [7][8][9][10][11][12][13][14][15][16] approaches. Although the data-driven approach has higher accuracy and faster computation speed, it requires a large amount of historical data and is often applicable only to specific operational scenarios [17]. Most research on wheelrail wear prediction currently uses the model-based approach.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…Simulation methods for wheel-rail wear can be divided into two categories: datadriven [5,6] and model-based [7][8][9][10][11][12][13][14][15][16] approaches. Although the data-driven approach has higher accuracy and faster computation speed, it requires a large amount of historical data and is often applicable only to specific operational scenarios [17]. Most research on wheelrail wear prediction currently uses the model-based approach.…”
Section: Introductionmentioning
confidence: 99%
“…The dynamic model is an important submodel for predicting wheel-rail wear. In numerical studies of wheel-rail wear, several researchers have used multi-rigid-body dynamic models to improve computational efficiency [10][11][12][13][14][15][16][17]. These models treat the vehicle and track structures as rigid bodies and neglect their elastic deformation.…”
Section: Introductionmentioning
confidence: 99%