Search:
Computing and Library Services - delivering an inspiring information environment

Adaptive noise cancelling and time–frequency techniques for rail surface defect detection

Liang, B., Iwnicki, S., Ball, Andrew and Young, A.E. (2015) Adaptive noise cancelling and time–frequency techniques for rail surface defect detection. Mechanical Systems and Signal Processing, 54-55. pp. 41-51. ISSN 08883270

[img] Microsoft Word (Accepted auther version)
Restricted to Repository staff only

Download (7MB)
[img]
Preview
PDF - Accepted Version
Download (4MB) | Preview

Abstract

Adaptive noise cancelling (ANC) is a technique which is very effective to remove additive noises from the contaminated signals. It has been widely used in the fields of telecommunication, radar and sonar signal processing. However it was seldom used for the surveillance and diagnosis of mechanical systems before late of 1990s. As a promising technique it has gradually been exploited for the purpose of condition monitoring and fault diagnosis. Time-frequency analysis is another useful tool for condition monitoring and fault diagnosis purpose as time-frequency analysis can keep both time and frequency information simultaneously. This paper presents an ANC and time-frequency application for railway wheel flat and rail surface defect detection. The experimental results from a scaled roller test rig show that this approach can significantly reduce unwanted interferences and extract the weak signals from strong background noises. The combination of ANC and time-frequency analysis may provide us one of useful tools for condition monitoring and fault diagnosis of railway vehicles.

Item Type: Article
Subjects: T Technology > TF Railroad engineering and operation
Schools: School of Computing and Engineering > Institute of Railway Research
School of Computing and Engineering
Depositing User: Simon Iwnicki
Date Deposited: 09 Feb 2015 11:16
Last Modified: 08 Dec 2016 02:42
URI: http://eprints.hud.ac.uk/id/eprint/23215

Downloads

Downloads per month over past year

Repository Staff Only: item control page

View Item View Item

University of Huddersfield, Queensgate, Huddersfield, HD1 3DH Copyright and Disclaimer All rights reserved ©