Application Of Slantlet Transform Based Support Vector Machine For Power Quality Detection And Classification

• Main Authors: M. Noh, Faridah Hanim, Hajime, Miyauchi, Yaakub, Muhamad Faizal
• Format: Article
• Language: English
• Published: Scientific Research Publishing Inc. 2015
• Subjects: T Technology (General); TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://eprints.utem.edu.my/id/eprint/22831/2/Application%20of%20Slantlet%20Transform%20Based%20Support%20Vector%20Machine%20for%20Power%20Quality%20Detection%20and%20Classification.pdf; http://eprints.utem.edu.my/id/eprint/22831/; https://www.scirp.org/journal/PaperInformation.aspx?PaperID=55628

Concern towards power quality (PQ) has increased immensely due to the growing usage of high technology devices which are very sensitive towards voltage and current variations and the de-regulation of the electricity market. The impact of these voltage and current variations can lead to devices malfu...