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Practical applications of automatic image analysis for overhead lines
Chalmers University of Technology, Department of Signals and Systems.
Statnett, Oslo.
STRI AB, Ludvika.
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Energy Science.
2013 (English)In: 22nd International Conference and Exhibition on Electricity Distribution (CIRED 2013): Stockholm, Sweden, 10 - 13 June 2013, Red Hook, NY: Curran Associates, Inc., 2013, 560Conference paper (Refereed)
Abstract [en]

This paper proposes novel techniques for automatically extracting information from overhead lines based on automatic image/video processing. Three application scenarios are presented: (a) detecting snow and ice coverage on insulators for overhead lines; (b) detecting swing angles of insulators; (c) quantifying the visibility of insulators at transmission lines with typical backgrounds. Experiments have been conducted on recorded videos/images of insulators (with different prototypes) for overhead lines in a remote test station in Norway. Results show that the proposed automatic image analysis methods are promising for extracting the status (snow/ice coverage, swing angle, visibility) of insulators and might be applied in the future for other components of the overhead line.

Place, publisher, year, edition, pages
Red Hook, NY: Curran Associates, Inc., 2013. 560
, I E T Conference Publication Series, ISSN 0537-9989 ; 615
Research subject
Electric Power Engineering
URN: urn:nbn:se:ltu:diva-26941DOI: 10.1049/cp.2013.0802Local ID: 035ae1c1-5da5-4c6f-81a1-67b96d1b0713ISBN: 978-1-84919-732-8OAI: diva2:1000122
International Conference on Electricity Distribution : 10/06/2013 - 13/06/2013
Godkänd; 2014; 20130616 (matbol)Available from: 2016-09-30 Created: 2016-09-30Bibliographically approved

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