Power Disturbance Classifier Using Wavelet-Based Neural NetworkPower Disturbance Classifier Using Wavelet-Based Neural Network
- Other Titles
- Power Disturbance Classifier Using Wavelet-Based Neural Network
- Authors
- 최재호; 정교범; 김홍균; 이진목
- Issue Date
- 2006
- Publisher
- 전력전자학회
- Keywords
- Power quality; Wavelet-based neural network; Power disturbance classifier
- Citation
- Journal of Power Electronics, v.6, no.4, pp.307 - 314
- Journal Title
- Journal of Power Electronics
- Volume
- 6
- Number
- 4
- Start Page
- 307
- End Page
- 314
- URI
- https://scholarworks.bwise.kr/hongik/handle/2020.sw.hongik/24752
- ISSN
- 1598-2092
- Abstract
- This paper presents a wavelet and neural network based technology for the monitoring and classification of various types of power quality (PQ) disturbances. Simultaneous and automatic detection and classification of PQ transients, is recommended, however these processes have not been thoroughly investigated so far. In this paper, the hardware and software of a power quality data acquisition system (PQDAS) is described. In this system, an auto-classifying system combines the properties of the wavelet transform with the advantages of a neural network. Additionally, to improve recognition rate, extraction technology is considered.
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Collections - College of Science and Technology > Department of Electronic and Electrical Engineering > 1. Journal Articles
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