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Fault classification and faulted phase selection for transmission line using morphological edge detection filter.
- Source :
-
IET Generation, Transmission & Distribution (Wiley-Blackwell) . Apr2018, Vol. 12 Issue 8, p1595-1605. 11p. - Publication Year :
- 2018
-
Abstract
- In this study, a novel algorithm for detecting and classifying faults in transmission lines is proposed. The algorithm is based on mathematical morphology and initial current travelling waves. A new morphological edge detection (MED) filter to extract the transient features from the original fault signal is designed. This MED filter can fast and accurately detect the arrival time and polarity of travelling waves in all conditions. The appropriate criteria of fault classification and faultedâphase selection are introduced based on polarity of initial current travelling waves. The simulations based on the electromagnetic transients program and MATLAB have been done to evaluate the validity of the proposed algorithm. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 17518687
- Volume :
- 12
- Issue :
- 8
- Database :
- Academic Search Index
- Journal :
- IET Generation, Transmission & Distribution (Wiley-Blackwell)
- Publication Type :
- Academic Journal
- Accession number :
- 147996273
- Full Text :
- https://doi.org/10.1049/iet-gtd.2017.0999