Soft Filtering of Acoustic Emission Signals Based on the Complex Use of Huang Transform and Wavelet Analysis

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Soft Filtering of Acoustic Emission Signals Based on the Complex Use of Huang Transform and Wavelet Analysis

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Soft Filtering of Acoustic Emission Signals Based on the Complex Use of Huang Transform and Wavelet Analysis

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2020

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Advances in Intelligent Systems and Computing

ISBN

978-3-030-26473-4

ISSN

2194-5357

e-ISSN

2194-5365

Počet stran výsledku

17

Strana od-do

3-19

Název nakladatele

Springer Verlag

Místo vydání

Cham

Místo konání akce

Kherson

Datum konání akce

21. 5. 2019

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000623482600001