Digital Predictive Maintenance: Case Study
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23220%2F24%3A43972958" target="_blank" >RIV/49777513:23220/24:43972958 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/10693912" target="_blank" >https://ieeexplore.ieee.org/document/10693912</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/Diagnostika61830.2024.10693912" target="_blank" >10.1109/Diagnostika61830.2024.10693912</a>
Alternative languages
Result language
angličtina
Original language name
Digital Predictive Maintenance: Case Study
Original language description
This paper deals with the issue of digital predictive maintenance and its application to selected equipment, focusing on a case study of climate chambers. The study analyzed the current state of maintenance of these devices, performed cost calculations, and evaluated the possible risks. Based on these analyses, a procedure for the implementation of predictive maintenance was proposed, which could lead to the reduction of the identified risks and the optimization of the costs associated with the maintenance of the equipment. The paper provides a comprehensive overview of digital predictive maintenance that includes a theoretical framework, a case study, and an implementation methodology, thus contributing to a deeper understanding of the benefits and challenges associated with this area.
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
20201 - Electrical and electronic engineering
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2024 International Conference on Diagnostics in Electrical Engineering (Diagnostika) : /conference proceedings/
ISBN
979-8-3503-6149-0
ISSN
2464-7071
e-ISSN
2464-708X
Number of pages
6
Pages from-to
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Publisher name
IEEE
Place of publication
Piscataway
Event location
Pilsen, Czech Republic
Event date
Sep 3, 2024
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
001345150300035