NDLI: Managing remote on-line partial discharge data

Content Provider	IEEE Xplore Digital Library
Author	Catterson, V. McArthur, S. Judd, M. Zaher, A.
Copyright Year	2009
Description	Author affiliation: University of Strathclyde (Catterson, V.; McArthur, S.; Judd, M.; Zaher, A.)
Abstract	The volume of data produced by existing partial discharge monitoring systems is often too large for engineers to examine in detail, leading to data being ignored and useful indicators of health being missed. The case study reported in this paper recorded 21,839 events around an HVDC reactor over a six day period. We estimate it takes one minute to check if an event requires detailed study, leading to over two man-months of effort to locate important events in a dataset of this size. Additionally, on-line monitoring data is stored on-site, and may require an engineer's visit for collection. This paper presents an approach to remote partial discharge monitoring, supported by automated data interpretation and prioritization, which enables engineers to remotely find and download important data. Results from the case study are used to illustrate these concepts.
Starting Page	1
Ending Page	1
File Size	259872
Page Count	1
File Format	PDF
ISBN	9781424442416
ISSN	19449925
DOI	10.1109/PES.2009.5275880
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-07-26
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Partial discharges Remote monitoring Data engineering Engineering management HVDC transmission Inductors Computerized monitoring
Content Type	Text
Resource Type	Article

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