DocumentCode :
615244
Title :
Overhead line monitoring model based on the long-distance transmission network
Author :
Ouyan Jiankun ; Zhou Churui
Author_Institution :
Sch. of Automationl, Wuhan Univ. of Technol., Wuhan, China
fYear :
2013
fDate :
26-28 April 2013
Firstpage :
76
Lastpage :
79
Abstract :
High-voltage overhead lines are mostly located in remote regions in China. This monitoring and inspection of overhead line fault diagnosis maintenance work has caused great difficulty. This article has designed a monitoring model for rising of overhead line fault-monitoring in real time. Overhead line is divided into a number of small by the model, each overhead line installed on the testing equipment, the use of GPRS network for remote transmission of these data to detect remote monitoring platform. Remote monitoring platform receives data through an internal Ethernet distribute data to each monitoring station network. Monitoring platform uses neural network theory analysis of the data received and to arrive at a diagnosis and ultimately provide diagnostic results to the relevant maintenance inspection department. The text proves the reliability and validity of the model theoretically.
Keywords :
condition monitoring; fault diagnosis; inspection; local area networks; maintenance engineering; neural nets; packet radio networks; power engineering computing; power overhead lines; power transmission reliability; China; Ethernet; GPRS network; high-voltage overhead lines; long-distance transmission network; maintenance inspection department; monitoring platform; monitoring station network; neural network theory analysis; overhead line fault diagnosis maintenance inspection; overhead line fault diagnosis maintenance monitoring; overhead line monitoring model; reliability; remote monitoring platform; remote transmission; testing equipment; Computer network reliability; Computers; Monitoring; Receivers; Reliability; fault detection; neural network; overhead line; remote monitoring;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science & Education (ICCSE), 2013 8th International Conference on
Conference_Location :
Colombo
Print_ISBN :
978-1-4673-4464-7
Type :
conf
DOI :
10.1109/ICCSE.2013.6553887
Filename :
6553887
Link To Document :
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