An improved rail crack detection method based on the wavelet subband LMS adaptive filtering and wavelet analysis

Kangwei Wang; Haoran Li; Yang Qian; Chengwei Xu; Yong Yang

doi:10.1117/12.3019716

25 March 2024 An improved rail crack detection method based on the wavelet subband LMS adaptive filtering and wavelet analysis

Kangwei Wang, Haoran Li, Yang Qian, Chengwei Xu, Yong Yang

Author Affiliations +

Proceedings Volume 13089, Fifteenth International Conference on Graphics and Image Processing (ICGIP 2023); 130890Q (2024) https://doi.org/10.1117/12.3019716
Event: Fifteenth International Conference on Graphics and Image Processing (ICGIP 2023), 2023, Suzhou, China

Abstract

Rail health monitoring plays an important role in the recent railway system. In order to implement acoustic emission technique in rail health monitoring, the mechanical noise caused by wheel-rail interactions should be eliminated with digital signal processing techniques in advance. This paper proposed a wavelet subband least mean square (LMS) adaptive filter, which can be used to effectively eliminate the strong noise and detect crack signals in railway. In such a method, the noisy input signals and reference noise should be first transformed into multi-scale wavelet coefficients. Then the decomposed noisy input and reference of the same channel was input into the separate LMS adaptive filters and the parameters of the filters were optimized by the metric of similarity coefficient. Finally, the denoised wavelet components in different levels were integrated into the whole denoised signal. Experimental tests clearly demonstrate that, compared to the conventional LMS method and adaptive wavelet filtering method, the proposed algorithm can improve the detectability, obtain a higher SNR, and at the same time retain the details of the crack signals under the actual railway noise interference.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Kangwei Wang, Haoran Li, Yang Qian, Chengwei Xu, and Yong Yang "An improved rail crack detection method based on the wavelet subband LMS adaptive filtering and wavelet analysis", Proc. SPIE 13089, Fifteenth International Conference on Graphics and Image Processing (ICGIP 2023), 130890Q (25 March 2024); https://doi.org/10.1117/12.3019716

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available