Application of Modern Approaches to Solving Diagnostic Tasks in Industry

Result code in 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>

Result on the web

<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>

Result language

angličtina

Original language name

Application of Modern Approaches to Solving Diagnostic Tasks in Industry

Original language description

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.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

20205 - Automation and control systems

Project

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Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2024

Confidentiality

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

Article name in the collection

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

ISBN

979-8-3503-9490-0

ISSN

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e-ISSN

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Number of pages

7

Pages from-to

„“-„“

Publisher name

IEEE

Place of publication

Brno, Czech Republic

Event location

Brno

Event date

Dec 4, 2024

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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