Crack Growth Signal Processing Approach Combining Wavelet Threshold Denoising and Variable Amplitude DCPD Technique

The direct current potential drop (DCPD) method is widely used in laboratory environments to monitor the crack initiation and propagation of specimens. In this study, an anti-interference signal processing approach, combining wavelet threshold denoising and a variable current amplitude DCPD signal s...

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Autores principales:	Chenqiang Ni, He Xue, Shuai Wang, Xiurong Fang, Hongliang Yang
Formato:	article
Lenguaje:	EN
Publicado:	Hindawi Limited 2021
Materias:	Engineering (General). Civil engineering (General) TA1-2040 Mathematics QA1-939
Acceso en línea:	https://doaj.org/article/bb347d9ae42d4e0fad88471315022eb1
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spelling	oai:doaj.org-article:bb347d9ae42d4e0fad88471315022eb12021-11-08T02:35:25ZCrack Growth Signal Processing Approach Combining Wavelet Threshold Denoising and Variable Amplitude DCPD Technique1563-514710.1155/2021/5510361https://doaj.org/article/bb347d9ae42d4e0fad88471315022eb12021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/5510361https://doaj.org/toc/1563-5147The direct current potential drop (DCPD) method is widely used in laboratory environments to monitor the crack initiation and propagation of specimens. In this study, an anti-interference signal processing approach, combining wavelet threshold denoising and a variable current amplitude DCPD signal synthesis technique, was proposed. Adaptive wavelet threshold denoising using Stein’s unbiased risk estimate was applied to the main potential drop signal and the reference potential signal under two different current amplitudes to reduce the interference caused by noise. Thereafter, noise-reduced signals were synthesized to eliminate the time-varying thermal electromotive force. The multiplicative interference signal was eliminated by normalizing the main potential drop signal and the reference potential drop signal. This signal processing approach was applied to the crack growth monitoring data of 316 L stainless steel compact tension specimens in a laboratory environment, and the signal processing results of static cracks and propagation cracks under different load conditions were analyzed. The results showed that the proposed approach can significantly improve the signal-to-noise ratio as well as the accuracy and resolution of the crack growth measurement.Chenqiang NiHe XueShuai WangXiurong FangHongliang YangHindawi LimitedarticleEngineering (General). Civil engineering (General)TA1-2040MathematicsQA1-939ENMathematical Problems in Engineering, Vol 2021 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Engineering (General). Civil engineering (General) TA1-2040 Mathematics QA1-939
spellingShingle	Engineering (General). Civil engineering (General) TA1-2040 Mathematics QA1-939 Chenqiang Ni He Xue Shuai Wang Xiurong Fang Hongliang Yang Crack Growth Signal Processing Approach Combining Wavelet Threshold Denoising and Variable Amplitude DCPD Technique
description	The direct current potential drop (DCPD) method is widely used in laboratory environments to monitor the crack initiation and propagation of specimens. In this study, an anti-interference signal processing approach, combining wavelet threshold denoising and a variable current amplitude DCPD signal synthesis technique, was proposed. Adaptive wavelet threshold denoising using Stein’s unbiased risk estimate was applied to the main potential drop signal and the reference potential signal under two different current amplitudes to reduce the interference caused by noise. Thereafter, noise-reduced signals were synthesized to eliminate the time-varying thermal electromotive force. The multiplicative interference signal was eliminated by normalizing the main potential drop signal and the reference potential drop signal. This signal processing approach was applied to the crack growth monitoring data of 316 L stainless steel compact tension specimens in a laboratory environment, and the signal processing results of static cracks and propagation cracks under different load conditions were analyzed. The results showed that the proposed approach can significantly improve the signal-to-noise ratio as well as the accuracy and resolution of the crack growth measurement.
format	article
author	Chenqiang Ni He Xue Shuai Wang Xiurong Fang Hongliang Yang
author_facet	Chenqiang Ni He Xue Shuai Wang Xiurong Fang Hongliang Yang
author_sort	Chenqiang Ni
title	Crack Growth Signal Processing Approach Combining Wavelet Threshold Denoising and Variable Amplitude DCPD Technique
title_short	Crack Growth Signal Processing Approach Combining Wavelet Threshold Denoising and Variable Amplitude DCPD Technique
title_full	Crack Growth Signal Processing Approach Combining Wavelet Threshold Denoising and Variable Amplitude DCPD Technique
title_fullStr	Crack Growth Signal Processing Approach Combining Wavelet Threshold Denoising and Variable Amplitude DCPD Technique
title_full_unstemmed	Crack Growth Signal Processing Approach Combining Wavelet Threshold Denoising and Variable Amplitude DCPD Technique
title_sort	crack growth signal processing approach combining wavelet threshold denoising and variable amplitude dcpd technique
publisher	Hindawi Limited
publishDate	2021
url	https://doaj.org/article/bb347d9ae42d4e0fad88471315022eb1
work_keys_str_mv	AT chenqiangni crackgrowthsignalprocessingapproachcombiningwaveletthresholddenoisingandvariableamplitudedcpdtechnique AT hexue crackgrowthsignalprocessingapproachcombiningwaveletthresholddenoisingandvariableamplitudedcpdtechnique AT shuaiwang crackgrowthsignalprocessingapproachcombiningwaveletthresholddenoisingandvariableamplitudedcpdtechnique AT xiurongfang crackgrowthsignalprocessingapproachcombiningwaveletthresholddenoisingandvariableamplitudedcpdtechnique AT hongliangyang crackgrowthsignalprocessingapproachcombiningwaveletthresholddenoisingandvariableamplitudedcpdtechnique
_version_	1718443221665710080

Crack Growth Signal Processing Approach Combining Wavelet Threshold Denoising and Variable Amplitude DCPD Technique

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