The Use of AI in Proactive Maintenance
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60162694%3AG43__%2F26%3A00564661" target="_blank" >RIV/60162694:G43__/26:00564661 - isvavai.cz</a>
Result on the web
<a href="http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=11061248" target="_blank" >http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=11061248</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ICMT65201.2025.11061298" target="_blank" >10.1109/ICMT65201.2025.11061298</a>
Alternative languages
Result language
angličtina
Original language name
The Use of AI in Proactive Maintenance
Original language description
Proactive maintenance represents a key approach to increasing the efficiency and reliability of technical systems. This article focuses on the use of artificial intelligence (AI) in the field of predictive maintenance, with an emphasis on machine learning and deep neural networks. First, we introduce current maintenance strategies and their evolution, followed by a discussion of the role of the Internet of Vehicles (IoV) in data collection and analysis. We then describe AI approaches in detail, including machine learning and deep learning methods, which enable the prediction of failures and optimization of maintenance. Finally, we summarize the benefits of using AI in proactive maintenance and discuss future challenges in this field.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
20301 - Mechanical engineering
Result continuities
Project
—
Continuities
S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2025 10th International Conference on Military Technologies, ICMT 2025 - Proceedings
ISBN
979-8-3315-2338-1
ISSN
—
e-ISSN
2996-4474
Number of pages
6
Pages from-to
—
Publisher name
Institute of Electrical and Electronics Engineers Inc.
Place of publication
—
Event location
Brno, Czech Republic
Event date
May 27, 2025
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
001545807300041