Application of Modern Approaches to Solving Diagnostic Tasks in Industry

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F24%3APU154986" target="_blank" >RIV/00216305:26210/24:PU154986 - isvavai.cz</a>

Výsledek na webu

<a href="https://ieeexplore.ieee.org/document/10789654" target="_blank" >https://ieeexplore.ieee.org/document/10789654</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/ME61309.2024.10789654" target="_blank" >10.1109/ME61309.2024.10789654</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Application of Modern Approaches to Solving Diagnostic Tasks in Industry

Popis výsledku v původním jazyce

Technical diagnostics is a separate scientific discipline focused on non-destructive methods of assessing the technical condition of objects and is one of the pillars of reliability and functionality of equipment. The definitions of technical diagnostics are based on various disciplines and standards, and technical diagnostics relies on the monitoring of diagnostic variables such as temperature, vibration, noise, and others. The paper further discusses the types of diagnostics, including vibrodiagnostics, thermodiagnostics, electrodiagnostics, etc., and their division into on-line and offline systems. The next section is focused on data evaluation, which is based on standards and methods, including frequency analysis and the use of artificial intelligence. The paper also discusses the use of cloud computing, edge computing, and risk theory, which can contribute significantly to the efficiency of diagnostic processes in the future. Finally, practical examples that have been solved at our department are presented. The first one is the use of the SIPLUS CMS1200 system for on-line vibration monitoring, which demonstrates its functionality and possibilities of use in industrial practice. The second example is the possibility of using neural networks in the processing and evaluation of measured data. The last example focuses on the application of risk theory in the evaluation of different diagnostic methods. The article aims to introduce the reader to the issues of technical diagnostics and then demonstrate possible approaches for practical solutions.

Název v anglickém jazyce

Application of Modern Approaches to Solving Diagnostic Tasks in Industry

Popis výsledku anglicky

Technical diagnostics is a separate scientific discipline focused on non-destructive methods of assessing the technical condition of objects and is one of the pillars of reliability and functionality of equipment. The definitions of technical diagnostics are based on various disciplines and standards, and technical diagnostics relies on the monitoring of diagnostic variables such as temperature, vibration, noise, and others. The paper further discusses the types of diagnostics, including vibrodiagnostics, thermodiagnostics, electrodiagnostics, etc., and their division into on-line and offline systems. The next section is focused on data evaluation, which is based on standards and methods, including frequency analysis and the use of artificial intelligence. The paper also discusses the use of cloud computing, edge computing, and risk theory, which can contribute significantly to the efficiency of diagnostic processes in the future. Finally, practical examples that have been solved at our department are presented. The first one is the use of the SIPLUS CMS1200 system for on-line vibration monitoring, which demonstrates its functionality and possibilities of use in industrial practice. The second example is the possibility of using neural networks in the processing and evaluation of measured data. The last example focuses on the application of risk theory in the evaluation of different diagnostic methods. The article aims to introduce the reader to the issues of technical diagnostics and then demonstrate possible approaches for practical solutions.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

20205 - Automation and control systems

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2024

Kód důvěrnosti údajů

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

Název statě ve sborníku

2024 21st International Conference on Mechatronics - Mechatronika (ME)

ISBN

979-8-3503-9490-0

ISSN

—

e-ISSN

—

Počet stran výsledku

7

Strana od-do

„“-„“

Název nakladatele

IEEE

Místo vydání

Brno, Czech Republic

Místo konání akce

Brno

Datum konání akce

4. 12. 2024

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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