http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
합성곱 신경망 기반의 위상 불변에 강건한 GIS PD 고장 진단 모델 개발
박종민(Jongmin Park),김선의(Sun Uwe Kim),김수호(Sooho Kim),정진교(Jin-gyo Jung),윤병동(Byeng D.Youn) 대한기계학회 2018 대한기계학회 춘추학술대회 Vol.2018 No.12
Gas Insulated Switchgear(GIS) is electrical equipment for stable transformation or transmission. Since GIS serves to transmit or disconnect high voltage currents, it is very important to maintain stable internal isolation condition. Previous researches have been conducted to detect Partial Discharge(PD) by Ultra High Frequency(UHF)sensors, focusing on partial discharge among the causes that deteriorate internal isolation condition. In this study, PD diagnostic method was developed using Phase Resolved Pulse Sequence(PRPS) image, which is an image of the UHF sensor signal of GIS used in the actual field. For actual data, there is a phase shift phenomenon of PRPS images due to measurement or synchronization errors, which makes it difficult to diagnose them. To solve this problem, a Convolutional Neural Network(CNN) based Deep learning architecture robust to phase shift is proposed and it showed high diagnosis accuracy compared to previous algorithm.
정진교,이만렬,정성교,옥치남 東亞大學校 海洋資源硏究所 1993 硏究論文集 Vol.6 No.2
Our study is reinforcement about Outfall of Drain-Gate's Uplifted phenomenon when banking. Hence, We try to make stable construction by using Ground-Anchor Method, which is permanently stable and economical and shortening execution time. Besides, we used Finite Element Program to make a reproduction of field condition so that we could predict settlment, then we obtained the tension force. Therefore, Eath-Anchor Method is more effective than any other method in this case, So we recommend this Method.