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

Alireza Alemi; Yusong Pang; Gabri Lodewijks

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

Alireza Alemi, Yusong Pang, Gabri Lodewijks

Transport Engineering and Logistics

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

2 Citations (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 language	English
Title of host publication	Proceedings of the 11th International Conference on Contact Mechanics and Wear of Rail/Wheel Systems (CM 2018)
Editors	A. Nunez, Z. Li
Place of Publication	Delft, The Netherlands
Publisher	Delft University of Technology
Pages	25-30
ISBN (Print)	978-94-6186-963-0
Publication status	Published - 2018
Event	CM2018: 11th International Conference on Contact Mechanics and Wear of Rail/Wheel Systems - Delft, Netherlands Duration: 24 Sept 2018 → 27 Sept 2018

Conference

Conference	CM2018: 11th International Conference on Contact Mechanics and Wear of Rail/Wheel Systems
Country/Territory	Netherlands
City	Delft
Period	24/09/18 → 27/09/18

Keywords

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

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Cite this

@inproceedings{33f221b4f4da432ea6fa6ba117e061c2,

title = "In-service detection of defective railway wheels with periodic out-of-roundness",

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.",

keywords = "Condition monitoring, Defect, Detection, Periodic out-ofroundness, Polygonal, Signal reconstruction, Wheel",

author = "Alireza Alemi and Yusong Pang and Gabri Lodewijks",

year = "2018",

language = "English",

isbn = "978-94-6186-963-0",

pages = "25--30",

editor = "A. Nunez and Li, {Z. }",

booktitle = "Proceedings of the 11th International Conference on Contact Mechanics and Wear of Rail/Wheel Systems (CM 2018)",

publisher = "Delft University of Technology",

address = "Netherlands",

note = "CM2018: 11th International Conference on Contact Mechanics and Wear of Rail/Wheel Systems ; Conference date: 24-09-2018 Through 27-09-2018",

}

Alemi, A, Pang, Y & Lodewijks, G 2018, In-service detection of defective railway wheels with periodic out-of-roundness. in A Nunez & Z Li (eds), Proceedings of the 11th International Conference on Contact Mechanics and Wear of Rail/Wheel Systems (CM 2018). Delft University of Technology, Delft, The Netherlands, pp. 25-30, CM2018: 11th International Conference on Contact Mechanics and Wear of Rail/Wheel Systems , Delft, Netherlands, 24/09/18.

In-service detection of defective railway wheels with periodic out-of-roundness. / Alemi, Alireza; Pang, Yusong; Lodewijks, Gabri.
Proceedings of the 11th International Conference on Contact Mechanics and Wear of Rail/Wheel Systems (CM 2018). ed. / A. Nunez; Z. Li. Delft, The Netherlands: Delft University of Technology, 2018. p. 25-30.

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

TY - GEN

T1 - In-service detection of defective railway wheels with periodic out-of-roundness

AU - Alemi, Alireza

AU - Pang, Yusong

AU - Lodewijks, Gabri

PY - 2018

Y1 - 2018

N2 - 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.

AB - 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.

KW - Condition monitoring

KW - Defect

KW - Detection

KW - Periodic out-ofroundness

KW - Polygonal

KW - Signal reconstruction

KW - Wheel

UR - https://www.scopus.com/record/display.uri?eid=2-s2.0-85059527159&origin=inward&txGid=7855f62971d795b3fbdb03bf3e887ea9

M3 - Conference contribution

SN - 978-94-6186-963-0

SP - 25

EP - 30

BT - Proceedings of the 11th International Conference on Contact Mechanics and Wear of Rail/Wheel Systems (CM 2018)

A2 - Nunez, A.

A2 - Li, Z.

PB - Delft University of Technology

CY - Delft, The Netherlands

T2 - CM2018: 11th International Conference on Contact Mechanics and Wear of Rail/Wheel Systems

Y2 - 24 September 2018 through 27 September 2018

ER -

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

Abstract

Conference

Keywords

UN SDGs

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