The Application of Wavelet Analysis in Ultrasonic Nondestructive Testing

Huanxin Cheng, Junliang Liu, Li Cheng

2018

Abstract

Ultrasonic detection during the operation is inevitably influenced by ambient temperature and the noise, causing the received ultrasound signal low signal-to-noise ratio, great error in actual and theoretical waveform. For getting right ultrasonic feedback energy and the acquired signals, in this paper, the wavelet singularity detection method is used to detect mutation signal and threshold value to noise method is used to remove noise, meeting the nature of the time-domain and frequency-domain simultaneous analysis, and the MATLAB simulation is used to compare the advantages of Fourier denoising method and the wavelet denoising method, showing that the wavelet denoising method has incomparable advantages in bridge detection to noise processing.

Paper Citation

in Harvard Style

Cheng H., Liu J. and Cheng L. (2018). The Application of Wavelet Analysis in Ultrasonic Nondestructive Testing.In 3rd International Conference on Electromechanical Control Technology and Transportation - Volume 1: ICECTT, ISBN 978-989-758-312-4, pages 387-390. DOI: 10.5220/0006971303870390

in Bibtex Style

@conference{icectt18,
author={Huanxin Cheng and Junliang Liu and Li Cheng},
title={The Application of Wavelet Analysis in Ultrasonic Nondestructive Testing},
booktitle={3rd International Conference on Electromechanical Control Technology and Transportation - Volume 1: ICECTT,},
year={2018},
pages={387-390},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006971303870390},
isbn={978-989-758-312-4},
}

in EndNote Style

TY - CONF

JO - 3rd International Conference on Electromechanical Control Technology and Transportation - Volume 1: ICECTT,
TI - The Application of Wavelet Analysis in Ultrasonic Nondestructive Testing
SN - 978-989-758-312-4
AU - Cheng H.
AU - Liu J.
AU - Cheng L.
PY - 2018
SP - 387
EP - 390
DO - 10.5220/0006971303870390