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Multi-stage deep learning networks for automated assessment of electricity transmission infrastructure using fly-by images

author
Manninen, Henri
Ramlal, Craig J.
Singh, Arvind
Kilter, Jako
Landsberg, Mart
statement of authorship
Henri Manninen, Craig J. Ramlal, Arvind Singh, Jako Kilter, Mart Landsberg
source
Electric power systems research
publisher
Elsevier
journal volume number month
vol. 209
year of publication
2022
pages
art. 107948
url
https://doi.org/10.1016/j.epsr.2022.107948
subject term
sügavõpe
hindamine
elekter
keyword
condition assessment
health index
transmission overhead lines
deep learning
object detection
ISSN
0378-7796
notes
Bibliogr.: 30 ref
scientific publication
teaduspublikatsioon
classifier
1.1
Scopus
Journal metrics at Scopus
Article at Scopus
WOS
Journal metrics at WOS
Article at WOS
category (general)
Engineering
Energy
category (sub)
Engineering. Electrical and electronic engineering
Energy. Energy engineering and power technology
quartile
Q1
TalTech department
elektroenergeetika ja mehhatroonika instituut
language
inglise
Reserch Group
Power systems research group
Manninen, H., Ramlal, C. J., Singh, A., Kilter, J., Landsberg, M. Multi-stage deep learning networks for automated assessment of electricity transmission infrastructure using fly-by images // Electric power systems research (2022) vol. 209, art. 107948. https://doi.org/10.1016/j.epsr.2022.107948