대한전기학회:학술대회논문집 (Proceedings of the KIEE Conference)
- 대한전기학회 2005년도 제36회 하계학술대회 논문집 전기설비
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- Pages.94-96
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- 2005
전력품질 분석을 위한 특징 추출
Feature extraction for Power Quality analysis
- 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)
- 발행 : 2005.07.18
초록
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.
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