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http://hdl.handle.net/2080/337
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DC Field | Value | Language |
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dc.contributor.author | Dash, P K | - |
dc.contributor.author | Samantaray, S R | - |
dc.date.accessioned | 2006-09-18T05:28:37Z | - |
dc.date.available | 2006-09-18T05:28:37Z | - |
dc.date.issued | 2006 | - |
dc.identifier.citation | International Journal of Electrical Power & Energy Systems | en |
dc.identifier.uri | http://hdl.handle.net/2080/337 | - |
dc.description | Copyright for this article belongs to elsevier. doi:10.1016/j.ijepes.2006.06.002 | en |
dc.description.abstract | This paper presents a new approach for distance protection of transmission lines using time-frequency analysis. The proposed technique consists of preprocessing the fault current signal samples using hyperbolic S-transform to yield the change in energy and standard deviation at the appropriate window variation. From these two features, a decision of fault or no-fault on any phase or multiple phases of the transmission line can be made. The ground detection is done by a proposed indicator with a threshold value. The fault distance from the relaying point can be accurately estimated using cubic polynomial interpolation technique, Feed forward Neural Network and Adaptive Network Fuzzy Inference System (ANFIS). | en |
dc.format.extent | 1109006 bytes | - |
dc.format.mimetype | application/pdf | - |
dc.language.iso | en | - |
dc.publisher | Elsevier | en |
dc.subject | ANFIS | en |
dc.subject | Change energy | en |
dc.subject | Cubic interpolation | en |
dc.subject | Distance protection | en |
dc.subject | HS-transform | en |
dc.subject | Neural network | en |
dc.title | A novel distance protection scheme using time-frequency analysis and pattern recognition approach | en |
dc.type | Article | en |
Appears in Collections: | Journal Articles |
Files in This Item:
File | Description | Size | Format | |
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samantaray.pdf | 1.08 MB | Adobe PDF | View/Open |
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