The week's pick
Reseach Article
Transmission Line Fault Detection and Location Using Wavelet Transform
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 1 - Number 24 |
| Year of Publication: 2010 |
| Authors: M.Arun Bhaskar, T.Pritha, P.Suganya, Divya Prabha, Narmada Subramaniam |
10.5120/559-736
|
M.Arun Bhaskar, T.Pritha, P.Suganya, Divya Prabha, Narmada Subramaniam . Transmission Line Fault Detection and Location Using Wavelet Transform. International Journal of Computer Applications. 1, 24 ( February 2010), 36-41. DOI=10.5120/559-736
Abstract
The project deals with the detection of transmission line fault and the place where the fault has occurred. With conventional methods we can not find the location, whereas wavelet makes the location detection very easy. Certain faults like open, short may be detected using simple electronic circuitry, but the location of fault can be analyzed only with wavelet transform.
References
- Classification of power system faults using wavelet transforms and probabilistic neural networks k. harish kashyap1, u.jayachandra shenoy2
- Fan Mo, ”Power system transients characterization and classification using wavelets and neural networks” IEEE 1998, GRADCO’ 1998.
- M. Kezunovic & Z. Galijasevic,“New Software Framework for Automated Analysis of Power System Transients”, Proceedings of International Conference on Power System Transients, IPST 2001.
- Robi Polikar, “The Story of Wavelets”, Iowa State University
- N.K.Bose, P.Liang “Neural Network Fundamentals with Graphs, Algorithms, and Applications”, Tata-McGraw Hill, 1998 Ed.
- . Wavlet transforms – Raghueer M.Rao , Ajit S. Bopardikar
- Wavelet Transorm Based Relay algorithm for detection of stochastic high impedance faults. – T.M. Lai, L.A Snidar and E. Lo (IPST 2003 USA)D
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