Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)
- 2005.07e
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- Pages.94-96
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- 2005
Feature extraction for Power Quality analysis
전력품질 분석을 위한 특징 추출
- Lee, Jin-Mok (School of Electrical and Computer Engineering, Chungbuk National University) ;
- Hong, Duc-Pyo (School of Electrical and Computer Engineering, Chungbuk National University) ;
- Choi, Jae-Ho (School of Electrical and Computer Engineering, Chungbuk National University)
- Published : 2005.07.18
Abstract
Power Quality(PQ) problems are various owing to a wide variety of causes so detection and classification of many kinds of PQ problems are awkward. Almost all studies about it were about getting good results by Neural Networks(NN) which get input features from as random variables, FFT and wavelet transform. However they are discontented with results because it is very difficult to classify all PQ items. A study about feature extraction becomes needed. Thus, this paper suggests effective way of using principle Component Analysis (PCA) for PQ Problem classification. PCA found more effective features among all features so it will help us to get more good result of classification.
Keywords