Fault location and classification of combined transmission system: Economical and accurate statistic programming framework

• Main Authors: Tavalaei, J., Habibuddin, M. H., Khairuddin, A., Mohd. Zin, A. A.
• 格式: Article
• 出版: Korean Institute of Electrical Engineers 2017
• 主题: TJ Mechanical engineering and machinery
• 在线阅读: http://eprints.utm.my/id/eprint/81233/; http://dx.doi.org/10.5370/JEET.2017.12.6.2106

An effective statistical feature extraction approach of data sampling of fault in the combined transmission system is presented in this paper. The proposed algorithm leads to high accuracy at minimum cost to predict fault location and fault type classification. This algorithm requires impedance meas...