AI military vehicle diagnostics
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60162694%3AG43__%2F26%3A00565896" target="_blank" >RIV/60162694:G43__/26:00565896 - 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/ICMT65201.2025.11061275" target="_blank" >10.1109/ICMT65201.2025.11061275</a>
Alternative languages
Result language
angličtina
Original language name
AI military vehicle diagnostics
Original language description
This paper deals with the possibility of diagnosis and prediction of military vehicle failures using machine learning to increase the reliability of military equipment operation and early detection of impending failure. Early detection of incipient faults is absolutely crucial for timely repair planning and thus elimination of downtime in vehicle operations. First, we propose an appropriate method of data acquisition from vehicles considering the cost and efficiency of exploitation. We then propose a suitable approach to fault diagnosis for engine, transmission and brakes using vibration and acoustic diagnostics. These models identify anomalies in engine sound and vibration in the transmission and brake system. In the future, we plan to use these findings to develop a suitable model for machine learning.This study presents an effective solution for real-Time acoustic monitoring, which is particularly beneficial for remote control and all-weather monitoring, which is then used for evaluation and scheduling of service operations on individual vehicles. This system is equally applicable to current and older equipment.
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
20301 - Mechanical engineering
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
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
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e-ISSN
2996-4474
Number of pages
6
Pages from-to
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Publisher name
Institute of Electrical and Electronics Engineers Inc.
Place of publication
Brno Czech Republic
Event location
Brno, Czech Republic
Event date
May 27, 2025
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
001545807300018