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