Digital Method of Automated Non-destructive Diagnostics for High-power Magnetron Resonator Blocks

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F44555601%3A13440%2F22%3A43897180" target="_blank" >RIV/44555601:13440/22:43897180 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.mecs-press.org/ijigsp/ijigsp-v14-n1/IJIGSP-V14-N1-4.pdf" target="_blank" >https://www.mecs-press.org/ijigsp/ijigsp-v14-n1/IJIGSP-V14-N1-4.pdf</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.5815/ijigsp.2022.01.04" target="_blank" >10.5815/ijigsp.2022.01.04</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Digital Method of Automated Non-destructive Diagnostics for High-power Magnetron Resonator Blocks

Popis výsledku v původním jazyce

The paper reveals the problem of the lack of standard non-destructive diagnostic methods for high-power microwave devices aimed at regeneration. The issue is understudied and requires further research. The conducted analysis of state of the art on the subject area exhibited that image processing was used to specify the examined object&apos;s target characteristics in a wide range of research. Having summarized the considered image comparison methods on the subject area of this work, the authors formulated several requirements for the selected image analysis method based on the automated non-destructive diagnosis of resonator units for high-power magnetrons. The primary requirement is using non-iterative algorithms; the second condition is a chosen method of image analysis, and the third option is the number of pixels for a processed image. It must significantly exceed the number of descriptors required for making a decision. Guided by the analysis results and based on the results of previous studies conducted by the authors, the algorithm for identifying a defect in the resonator unit of a microwave device based on the image of the frequency-azimuthal distribution for the probing field phase difference expressed by the Zernike moments is proposed. MATLAB R14a was used as a modeling environment. The descriptor vector was restricted to the Zernike moments, including the 7th order. The work is interdisciplinary and written at the intersection of technical diagnostics, microwave engineering, and digital image processing.

Název v anglickém jazyce

Digital Method of Automated Non-destructive Diagnostics for High-power Magnetron Resonator Blocks

Popis výsledku anglicky

The paper reveals the problem of the lack of standard non-destructive diagnostic methods for high-power microwave devices aimed at regeneration. The issue is understudied and requires further research. The conducted analysis of state of the art on the subject area exhibited that image processing was used to specify the examined object&apos;s target characteristics in a wide range of research. Having summarized the considered image comparison methods on the subject area of this work, the authors formulated several requirements for the selected image analysis method based on the automated non-destructive diagnosis of resonator units for high-power magnetrons. The primary requirement is using non-iterative algorithms; the second condition is a chosen method of image analysis, and the third option is the number of pixels for a processed image. It must significantly exceed the number of descriptors required for making a decision. Guided by the analysis results and based on the results of previous studies conducted by the authors, the algorithm for identifying a defect in the resonator unit of a microwave device based on the image of the frequency-azimuthal distribution for the probing field phase difference expressed by the Zernike moments is proposed. MATLAB R14a was used as a modeling environment. The descriptor vector was restricted to the Zernike moments, including the 7th order. The work is interdisciplinary and written at the intersection of technical diagnostics, microwave engineering, and digital image processing.

Druh

J_SC - Článek v periodiku v databázi SCOPUS

CEP obor

—

OECD FORD obor

20205 - Automation and control systems

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2022

Kód důvěrnosti údajů

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

Název periodika

International Journal of Image, Graphics and Signal Processing(IJIGSP)

ISSN

2074-9074

e-ISSN

2074-9082

Svazek periodika

2022

Číslo periodika v rámci svazku

Vol. 14, Issue 1

Stát vydavatele periodika

HK - Hongkong

Počet stran výsledku

10

Strana od-do

40-49

Kód UT WoS článku

—

EID výsledku v databázi Scopus

2-s2.0-85125236902