Title :
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
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;
Conference_Titel :
Electrical Insulating Materials (ISEIM), Proceedings of 2014 International Symposium on
Conference_Location :
Niigata
DOI :
10.1109/ISEIM.2014.6870758
