Comparison of dynamic voltage restorer and static synchronous series compensator for a wind turbine fed FSIG under asymmetric faults
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: 2014DOI: 10.1109/WACV.2014.6836015
Keyword(s): image sequences,n learning (artificial intelligence),n object-oriented programming,n particle filtering (numerical methods),n video signal processing,n CMIL tracker,n articulated human movements,n component-based multiple instance learning,n large translational motion,n particle filtering,n robust tracking,n video sequence,n Atmospheric measurements,n Cameras,n Particle measurements,n Robustness,n Target tracking,n Vectors
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Comparison of dynamic voltage restorer and static synchronous series compensator for a wind turbine fed FSIG under asymmetric faults
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| contributor author | Karthigeyan, P. | |
| contributor author | Raja, M.Senthil | |
| contributor author | Uma, P.S. | |
| date accessioned | 2020-03-12T21:56:09Z | |
| date available | 2020-03-12T21:56:09Z | |
| date issued | 2014 | |
| identifier other | 6966268.pdf | |
| identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/1065695?locale-attribute=en | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | Comparison of dynamic voltage restorer and static synchronous series compensator for a wind turbine fed FSIG under asymmetric faults | |
| type | Conference Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8199270 | |
| subject keywords | image sequences | |
| subject keywords | n learning (artificial intelligence) | |
| subject keywords | n object-oriented programming | |
| subject keywords | n particle filtering (numerical methods) | |
| subject keywords | n video signal processing | |
| subject keywords | n CMIL tracker | |
| subject keywords | n articulated human movements | |
| subject keywords | n component-based multiple instance learning | |
| subject keywords | n large translational motion | |
| subject keywords | n particle filtering | |
| subject keywords | n robust tracking | |
| subject keywords | n video sequence | |
| subject keywords | n Atmospheric measurements | |
| subject keywords | n Cameras | |
| subject keywords | n Particle measurements | |
| subject keywords | n Robustness | |
| subject keywords | n Target tracking | |
| subject keywords | n Vectors | |
| identifier doi | 10.1109/WACV.2014.6836015 | |
| journal title | urrent Trends in Engineering and Technology (ICCTET), 2014 2nd International Conference on | |
| filesize | 4049674 | |
| citations | 1 |