Automatic classification of power quality disturbances using optimal feature selection based algorithm

Automatic classification of power quality disturbances using optimal feature selection based algorithm

The development of renewable energy sources and power electronic converters in conventional power systems leads to Power Quality (PQ) disturbances. This research aims at automatic detection and classification of single and multiple PQ disturbances using a novel optimal feature selection based on Dis...

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書目詳細資料
主要作者:	Khokhar, Suhail
格式:	Thesis
語言:	English
出版:	2016
主題:	TK Electrical engineering Electronics Nuclear engineering
在線閱讀:	http://eprints.utm.my/id/eprint/60724/1/SuhailKhokharPFKE2016.pdf
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!

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