DocumentCode :
2654166
Title :
Intelligent High-Voltage Discharge Fault Detection and Its Diagnosis Methods Based on ANN
Author :
Xu Ru-jun ; Ma Li-xin ; Hu Bo ; Ma He-ran ; Tao Bo-hao
Author_Institution :
Sch. of Opt.-Electr. & Comput. Eng., Univ. of Shanghai for Sci. & Technol., Shanghai, China
fYear :
2011
fDate :
22-23 Oct. 2011
Firstpage :
119
Lastpage :
122
Abstract :
In order to prevent the harm of corona, the power sector needs to detect and analyze the fault of corona discharge. This paper put forward a single-channel structure corona detection system based on solar-blind UV detection technology, which is able to locate corona discharge effectively. And the absolute discharge area formula has been derived to quantify the corona discharge intensity. On that basis, a corona discharge fault diagnosis method has been built based on BP neural network, which can make the correct classification of the corona failure.
Keywords :
backpropagation; corona; discharges (electric); fault diagnosis; neural nets; power engineering computing; power system faults; solar corona; ANN; BP neural network; corona discharge fault analysis; corona discharge fault detection; corona discharge intensity; corona discharge location; corona failure classification; corona hard prevention; diagnosis methods; intelligent high-voltage discharge fault detection; power sector; single-channel structure corona detection system; solar-blind UV detection technology; Corona; Discharges; Fault location; Imaging; Optical filters; Periodic structures; UV detection; corona discharge; fault diagnosis; neural network; single-channel;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligence Information Processing and Trusted Computing (IPTC), 2011 2nd International Symposium on
Conference_Location :
Hubei
Print_ISBN :
978-1-4577-1130-5
Type :
conf
DOI :
10.1109/IPTC.2011.37
Filename :
6103551
Link To Document :
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