Please use this identifier to cite or link to this item:
Title: Discrimination between Inrush current and Internal Faults using Pattern Recognition Approach
Authors: Panigrahi, B K
Samantaray, S R
Dash, P K
Panda, G
Keywords: fault currents
fuzzy logic
pattern clustering
power transformers
time-frequency analysis transforms
Issue Date: 2006
Publisher: IEEE
Citation: International Conference on Power Electronics, Drives and Energy Systems, 2006. PEDES '06.
Abstract: This paper presents a new approach to distinguish between inrush current and internal faults of power transformer using pattern recognition approach. The HS-transform (Hyperbolic S-transform) is used to extract patterns of inrush current and internal faults from the captured transformer current. HS-transform is a very powerful tool for non-stationary signal analysis giving the information of transient currents both in time and frequency domain. The spectral energy and standard deviation are calculated to distinguish between inrush current and internal fault. Classification of internal faults and inrush current is done through Fuzzy C-means clustering.
Description: Copyright for the article belongs to IEEE
Appears in Collections:Conference Papers

Files in This Item:
File Description SizeFormat 
srs10.pdf4.59 MBAdobe PDFView/Open

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.