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

Alireza Alemi, Yusong Pang, Gabri Lodewijks

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

1 Citation (Scopus)

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.
Original languageEnglish
Title of host publicationProceedings of the 11th International Conference on Contact Mechanics and Wear of Rail/Wheel Systems (CM 2018)
EditorsA. Nunez, Z. Li
Place of PublicationDelft, The Netherlands
PublisherDelft University of Technology
Pages25-30
ISBN (Print)978-94-6186-963-0
Publication statusPublished - 2018
EventCM2018: 11th International Conference on Contact Mechanics and Wear of Rail/Wheel Systems - Delft, Netherlands
Duration: 24 Sep 201827 Sep 2018

Conference

ConferenceCM2018: 11th International Conference on Contact Mechanics and Wear of Rail/Wheel Systems
CountryNetherlands
CityDelft
Period24/09/1827/09/18

Keywords

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

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