In-service detection of defective railway wheels with periodic out-of-roundness

Alemi, A.; Pang, Y.; Lodewijks, G.

In-service detection of defective railway wheels with periodic out-of-roundness

Conference paper (2018)

Authors

A. Alemi Transport Engineering and Logistics - Mechanical, Maritime and Materials Engineering

Y. Pang Transport Engineering and Logistics - Mechanical, Maritime and Materials Engineering

G. Lodewijks University of New South Wales

Research Group

Transport Engineering and Logistics (Mechanical, Maritime and Materials Engineering) (TU Delft)

Detection Defect Wheel Polygonal Condition monitoring Signal reconstruction Periodic out-ofroundness

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http://resolver.tudelft.nl/uuid:33f221b4-f4da-432e-a6fa-6ba117e061c2

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Published Date

2018

Language

English

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Faculty

Mechanical, Maritime and Materials Engineering

Department

Marine and Transport Technology

Research Group

Transport Engineering and Logistics

Abstract

A periodic out-of-round wheel generates a range of excitation frequencies that may approach to the fundamental resonance of the track and vehicle. Detecting these defects by current condition monitoring systems is challenging. This paper focuses on the polygonal defect detection. VI-Rail is used to model the wheel-rail interaction to generate required data. A fusion algorithm reconstructs the defect signals in the space domain. The comparisons between the reconstructed defect signals and the wheel defects present a great potential for defect type identification. The results show that different polygonal defects can be correctly recognized and the dominant harmonics can be successfully decomposed.