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http://hdl.handle.net/2080/784
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| 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 |
| URI: | http://dx.doi.org/10.1109/PEDES.2006.344318
http://hdl.handle.net/2080/784 |
| Appears in Collections: | Conference Papers
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| srs10.pdf | | 4588Kb | Adobe PDF | View/Open |
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