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딥 러닝에 의한 전동기 기계적 고장 수준 결정을 위한 전동기 진동/전류 데이터 특성 분석 연구
한지훈(Ji-Hoon Han),박상욱(Sang-Uk Park),홍선기(Sun-Ki Hong) 대한전기학회 2021 전기학회논문지 Vol.70 No.10
In the classic motor fault diagnosis system, a method of analyzing the differences between the normal and collected state signals of the motor to be diagnosed was used and the method can diagnose only the limited situations because the diagnosis is based on the frequency of the mechanical failure. In order to compensate for this, some studies on a system that performs more specialized fault diagnosis through deep learning algorithms were carried out. However, the level of failure cannot be determined because these studies consider only the signals that have a great influence on motor operation. To solve this problem, the characteristics of vibration and current signals are analyzed to develop a deep learning algorithm suitable for fault level determination. The characterized signals are used for fault diagnosis and prediction. Fault diagnosis based on vibration signal is carried out through DT-CNN (Decision Tree Convolutional Neural Network). In addition, it is checked whether the current signal in the initial failure state, which is relatively insensitive to failure, can be classified through a deep learning algorithm. The proposed data utilization performance was evaluated through an induction motor and the analyzed signal-based fault diagnosis system is expected to enable a more precise diagnosis compared to the existing system.
한민수(Min su Han),류태영(Tae Young Ryu),오효진(Hyo jin Oh),김문기(Moon ki Kim),최재붕(Jae boong Choi),이헌규,김수겸 대한기계학회 2015 대한기계학회 춘추학술대회 Vol.2015 No.11
Conventional safety evaluation of piping structure under seismic loading condition has been performed following ASME Boiler and Pressure Vessel Code Section III NB-3600. ASME Code proposes primary and secondary stress intensity limits calculated by elastic behavior of the material. The elastic material condition can not reflect the response of the piping structure because the real material has ductile properties. Also, response spectrum analysis method and seismic anchor motion analysis method have been used for safety evaluation but these method is known to bring conservative results. Therefore in this paper, elastic plastic analysis of piping structure based on time history analysis method are performed and comparison between results of elastic analysis and elastic plastic analysis are performed.