Ramlal, C., Singh, A., Rocke, S., Manninen, H., Kilter, J., Landsberg, M.

full record 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

ISBN

978-1-7281-7100-5

notes

Bibliogr.: 20 ref

TalTech department

elektroenergeetika ja mehhatroonika instituut

language

ingliseus

Märksõnad ja võtmesõnad

subject term

sügavõpe

kõrgepinge

energeetika

keyword

deep learning (DL)

object detection

elektrisüsteem

condition monitoring

high voltage

critical infrastructure

Related publications

Data-driven asset management and condition assessment methodology for transmission overhead lines = Ülekandevõrgu õhuliinide andmepõhine varahalduse ja seisundi hindamise metoodika

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