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Machine learning-based prognostic approaches for construction equipment powertrain systems

author
Yigit, Zafer
Forsberg, Hakan
Daneshtalab, Masoud
statement of authorship
Zafer Yiğit, Håkan Forsberg, Masoud Daneshtalab
source
2025 IEEE Intelligent Vehicles Symposium (IV)
location of publication
Piscataway, New Jersey
publisher
IEEE
year of publication
2025
pages
p. 1460-1465 : ill
conference name, date
36th Intelligent Vehicles Symposium-IV-Annual, 22-25 June 2025
conference location
Cluj-Napoca, Romania
url
https://doi.org/10.1109/IV64158.2025.11097476
subject term
lennuliinid
ehitus
tehisõpe
tehisnärvivõrgud
Scopus
Conference proceeding at Scopus
Article at Scopus
WOS
Article at WOS
category (general)
Engineering
Computer science
Mathematics
category (sub)
Engineering. Automotive engineering
Computer science. Computer science applications
Mathematics. Modeling and simulation
keyword
Airpath
Construction Equipment
Machine Learning
Neural Networks
PHM
ISSN
1931-0587
notes
Bibliogr.: 25 ref
scientific publication
teaduspublikatsioon
classifier
3.1
TalTech department
arvutisüsteemide instituut
language
inglise
Yigit, Z., Forsberg, H., Daneshtalab, M. Machine learning-based prognostic approaches for construction equipment powertrain systems // 2025 IEEE Intelligent Vehicles Symposium (IV). Piscataway, New Jersey : IEEE, 2025. p. 1460-1465 : ill. https://doi.org/10.1109/IV64158.2025.11097476