NDLI: Image processing to automate condition assessment of overhead line components

Content Provider	IEEE Xplore Digital Library
Author	Wai Ho Li Tajbakhsh, A. Rathbone, C. Vashishtha, Y.
Copyright Year	2010
Description	Author affiliation: Asset Innovation and Research group at SP AusNet, Australia (Tajbakhsh, A.) \|\| Department of Electrical and Computer Systems Engineering, Monash University, Clayton, Melbourne, Australia (Wai Ho Li) \|\| Asset Innovation and Research manager at SP AusNet, Australia (Vashishtha, Y.) \|\| Lines Asset Management group in SP AusNet, Australia (Rathbone, C.)
Abstract	Condition monitoring of overhead electricity transmission line assets is essential to network operation. Traditionally, the condition of overhead lines are assessed visually. Visual inspection is difficult to apply to phase conductors due to their height above ground. As such, aerial imaging surveys seem to be an ideal solution to this problem. However, the large number of high resolution images generated by aerial surveys are costly to inspect in terms of time and labour. This paper presents an image processing system that automates conductor localization and spacer detection in order to reduce the work required in visual inspection. The implemented system was tested on over four thousand video images from actual aerial surveys of quad-conductor transmission line assets. Experimental results show highly accurate conductor localization and a robust hit rate for spacer detection. These results suggest that image processing can be used to help automate labour intensive tasks in the condition assessment of overhead line components.
Starting Page	1
Ending Page	6
File Size	762420
Page Count	6
File Format	PDF
ISBN	9781424466337
e-ISBN	9781424466351
DOI	10.1109/CARPI.2010.5624447
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-10-05
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Visualization Computer vision Line detection Automation Image processing Aerial imaging Manuals Inspection Conductors Condition assessment Condition monitoring Conductor localization Spacer detection Joints Aerial survey Robots
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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