Arcing current features extraction using wavelet transform

Author

Chen, J.C. ; Phung, B.T. ; Zhang, Dejing ; Blackburn, T.R. ; Ambikairajah, E.

Author_Institution

Sch. of Electr. Eng. & Telecommun., Univ. of New South Wales, Sydney, NSW, Australia

fYear

2014

fDate

1-5 June 2014

Firstpage

221

Lastpage

224

Abstract

High Impedance Fault (HIF) has long been a challenging problem in network protection. This is because of its difficulty to be detected and discriminated accurately and reliably. In real cases, arcing is usually associated with HIFs. In this paper, arcing currents produced by using different metals are analysed based on wavelet transform. The wavelet db4 is used and found to be sensitive in detecting high frequency transient. Test results show that the features for different current magnitudes are different. These features are studied to develop a simple detection criterion to distinguish arcing fault currents from the normal load.

Keywords

arcs (electric); fault diagnosis; feature extraction; wavelet transforms; HIF; arcing current features extraction; current magnitudes; high frequency transient; high impedance fault; network protection; wavelet transform; Current measurement; Materials; Mechanical variables measurement; Reliability theory; Wavelet transforms; arcing; feature extraction; high impedance fault;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical Insulating Materials (ISEIM), Proceedings of 2014 International Symposium on

Conference_Location

Niigata

Type

conf

DOI

10.1109/ISEIM.2014.6870758

Filename

6870758