Optimized Signal De-noising Algorithm for Acoustic Emission Leakage

Traditional wavelet denoising method cannot eliminate complex high-pressure pipe signals effectively. In the updated wavelet adaptive algorithm, this thesis defines the constraints in order to reconstruct the signals accurately. According to the minimum mean square error criterion, the results predi...

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Main Authors: X.H. Wang, J. Yang, Y.L. Jiao, Y.C. Niu
Format: Article
Language:English
Published: AIDIC Servizi S.r.l. 2015-12-01
Series:Chemical Engineering Transactions
Online Access:https://www.cetjournal.it/index.php/cet/article/view/4338
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author X.H. Wang
J. Yang
Y.L. Jiao
Y.C. Niu
author_facet X.H. Wang
J. Yang
Y.L. Jiao
Y.C. Niu
author_sort X.H. Wang
collection DOAJ
description Traditional wavelet denoising method cannot eliminate complex high-pressure pipe signals effectively. In the updated wavelet adaptive algorithm, this thesis defines the constraints in order to reconstruct the signals accurately. According to the minimum mean square error criterion, the results predict the weight coefficient and get the optimal linear predictive value. Adopting the improved algorithm under the same condition, this thesis concluded that Db6 increased the complexity of wavelet algorithm by 50% by comparative experiments. It will be more conducive to the realization of hardware and the feasibility of real-time denoising. Dual adaptive wavelet denoising method improved SNR by 50%. This denoising method will play a key role in the detection rate of high-pressure pipe in the online leakage detection system.
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spelling doaj.art-8bb4f2c89f22423bb4eaa505e9d2c1ff2022-12-21T17:13:45ZengAIDIC Servizi S.r.l.Chemical Engineering Transactions2283-92162015-12-014610.3303/CET1546169Optimized Signal De-noising Algorithm for Acoustic Emission LeakageX.H. WangJ. YangY.L. JiaoY.C. NiuTraditional wavelet denoising method cannot eliminate complex high-pressure pipe signals effectively. In the updated wavelet adaptive algorithm, this thesis defines the constraints in order to reconstruct the signals accurately. According to the minimum mean square error criterion, the results predict the weight coefficient and get the optimal linear predictive value. Adopting the improved algorithm under the same condition, this thesis concluded that Db6 increased the complexity of wavelet algorithm by 50% by comparative experiments. It will be more conducive to the realization of hardware and the feasibility of real-time denoising. Dual adaptive wavelet denoising method improved SNR by 50%. This denoising method will play a key role in the detection rate of high-pressure pipe in the online leakage detection system.https://www.cetjournal.it/index.php/cet/article/view/4338
spellingShingle X.H. Wang
J. Yang
Y.L. Jiao
Y.C. Niu
Optimized Signal De-noising Algorithm for Acoustic Emission Leakage
Chemical Engineering Transactions
title Optimized Signal De-noising Algorithm for Acoustic Emission Leakage
title_full Optimized Signal De-noising Algorithm for Acoustic Emission Leakage
title_fullStr Optimized Signal De-noising Algorithm for Acoustic Emission Leakage
title_full_unstemmed Optimized Signal De-noising Algorithm for Acoustic Emission Leakage
title_short Optimized Signal De-noising Algorithm for Acoustic Emission Leakage
title_sort optimized signal de noising algorithm for acoustic emission leakage
url https://www.cetjournal.it/index.php/cet/article/view/4338
work_keys_str_mv AT xhwang optimizedsignaldenoisingalgorithmforacousticemissionleakage
AT jyang optimizedsignaldenoisingalgorithmforacousticemissionleakage
AT yljiao optimizedsignaldenoisingalgorithmforacousticemissionleakage
AT ycniu optimizedsignaldenoisingalgorithmforacousticemissionleakage