print

Toward automated utility pole condition monitoring : a deep learning approach

author
Ramlal, Craig J.
Singh, Arvind
Rocke, Sean
Manninen, Henri
Kilter, Jako
Landsberg, Mart
statement of authorship
Craig J. Ramlal, Arvind Singh, Sean Rocke, Henri Manninen, Jako Kilter, Mart Landsberg
source
Proceedings of 2020 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe), 26-28 October, 2020
location of publication
Danvers
publisher
IEEE
year of publication
2020
pages
p. 255–259
conference name, date
2020 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe), 25-28 October, 2020
conference location
The Hague, Netherlands
url
https://doi.org/10.1109/ISGT-Europe47291.2020.9248797
subject term
sügavõpe
kõrgepinge
energeetika
keyword
deep learning (DL)
object detection
elektrisüsteem
condition monitoring
high voltage
critical infrastructure
ISBN
978-1-7281-7100-5
notes
Bibliogr.: 20 ref
TTÜ department
elektroenergeetika ja mehhatroonika instituut
language
ingliseus
Uurimisrühm
Power systems research group
Ramlal, C., Singh, A., Rocke, S., Manninen, H., Kilter, J., Landsberg, M. Toward automated utility pole condition monitoring : a deep learning approach // Proceedings of 2020 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe), 26-28 October, 2020. Danvers : IEEE, 2020. p. 255–259. https://doi.org/10.1109/ISGT-Europe47291.2020.9248797