Soft Filtering of Acoustic Emission Signals Based on the Complex Use of Huang Transform and Wavelet Analysis
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F44555601%3A13440%2F20%3A43894673" target="_blank" >RIV/44555601:13440/20:43894673 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007/978-3-030-26474-1_1" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-030-26474-1_1</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-26474-1_1" target="_blank" >10.1007/978-3-030-26474-1_1</a>
Alternative languages
Result language
angličtina
Original language name
Soft Filtering of Acoustic Emission Signals Based on the Complex Use of Huang Transform and Wavelet Analysis
Original language description
The paper presents the results of the research concerning development of acoustic emission signals soft filtering model based on the complex use of Huang transform and wavelet analysis. The acoustic emission signals which were generated during crack progression from initiation to final failure with several distinct phases have been used as the experimental signals during the simulation process. The families of biorthogonal wavelets were used during the filtering process. The Shannon entropy criterion which was calculated with the use of James-Stein estimator was used as the main criterion to estimate the filtering process quality. The optimal parameters of the wavelet filter (type of wavelet, level of wavelet decomposition, value of the thresholding coefficient) were determined based on the minimum value of the Shannon entropies ratio which were calculated for filtered signal and for allocated noise component.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Advances in Intelligent Systems and Computing
ISBN
978-3-030-26473-4
ISSN
2194-5357
e-ISSN
2194-5365
Number of pages
17
Pages from-to
3-19
Publisher name
Springer Verlag
Place of publication
Cham
Event location
Kherson
Event date
May 21, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000623482600001