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A wavelet approach for the detection of rail wheel flats

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conference contribution
posted on 06.12.2017, 00:00 by Shengxiang JiaShengxiang Jia, Manicka DhanasekarManicka Dhanasekar
This paper presents a wavelet approach to overcome the difficulties in the on-board monitoring and detection systems of rail wheel flats using vibration signals. Signalaverage techniques and wavelet local energy average concept are employed in this approach. A Matlab-Simulink based dynamic simulation system was also developed for the modelling of wheel flats and track irregularities. The analysis of the numerical simulation results demonstrated that the method proposed in this paper is effective for the on-board monitoring of wheel flats of sizes smaller than the condemning limits.

Funding

Category 1 - Australian Competitive Grants (this includes ARC, NHMRC)

History

Parent Title

International Conference on Computational and Experimental Engineering and Sciences (ICCES'05), Chennai, India, 1-10 December 2005

Start Page

2427

End Page

2432

Number of Pages

6

Start Date

01/01/2005

ISBN-10

0971788006

ISBN-13

9780971788008

Location

Chennai, India

Publisher

Tech Science Press

Place of Publication

USA

Peer Reviewed

Yes

Open Access

No

External Author Affiliations

Centre for Railway Engineering; TBA Research Institute;

Era Eligible

Yes

Name of Conference

International Conference on Computational and Experimental Engineering and Sciences

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