<abstract xmlns="http://www.w3.org/1999/xhtml"><p>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.</p></abstract>

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.

Optimizing Signal De-Noising Algorithm for Acoustic Emission Leakage of Wavelet

Wuhan University of Technology, Wuhan 430063, China

Shangqiu Vocational and Technical College, Shangqiu 476000, China

Shangqiu Jinpeng Industrial Co., Ltd., Shangqiu 476000, China

Cybernetics and Information Technologies

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

{"article-title":"Optimizing Signal De-Noising Algorithm for Acoustic Emission Leakage of Wavelet"}

Traditional wavelet denoising method cannot eliminate complex high-pressure pipe signals effectively. In the updated wavelet adaptive algorithm, this thesis...

Optimizing Signal De-Noising Algorithm for Acoustic Emission Leakage of Wavelet

Online veröffentlicht: 09. Apr. 2016

Seitenbereich: 116 - 125

DOI: https://doi.org/10.1515/cait-2016-0009

Schlüsselwörter
acoustic emission, wavelet de-noising, leakage detection, wavelet analysis, acoustic emission signal

© 2016 Wang Xin-Hua et al., published by De Gruyter Open

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Optimizing Signal De-Noising Algorithm for Acoustic Emission Leakage of Wavelet

Online veröffentlicht: 09. Apr. 2016

Seitenbereich: 116 - 125

DOI: https://doi.org/10.1515/cait-2016-0009

Schlüsselwörteracoustic emission, wavelet de-noising, leakage detection, wavelet analysis, acoustic emission signal

© 2016 Wang Xin-Hua et al., published by De Gruyter Open

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Schlüsselwörter
acoustic emission, wavelet de-noising, leakage detection, wavelet analysis, acoustic emission signal