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임순현(S.H. Lim),김주영(J.Y. Gim),이상호(S.H. Lee),전용수(Y.S. Jeon),양순용(S.Y. Yang),김종면(J.M. Kim) 유공압건설기계학회 2022 유공압건설기계학회 학술대회논문집 Vol.2022 No.12
This paper presents an AI-based rotating machinery failure diagnosis method, using multiple sensors. Today, industrial sites are showing great interest in applying condition monitoring system because it can minimize the losses due to non-operation of the equipment and also by monitoring the equipment, immediate responses to possible unexpected situations can be carried out. The ultimate goal of monitoring system is to prognose and diagnose possible events that can occur in the future for the prevention of further fatal damages. Accordingly, various methods of monitoring and prediction technologies using vibration sensors have recently been developed. However, the demand for developing a corresponding complex solution is increasing in line with the advent of the 4th Industrial Revolution and the development of the computer industry. Therefore, a more reliable failure diagnosis method is presented through the establishment of an AI-based monitoring system using current, tacho and temperature sensors along with vibration sensors.