Development of Health and Life Prediction Technique for Propulsion Shaft System using Conditioning Monitoring Data and Digital Twin

Recently, many researchers have been performing condition-based maintenance (CBM) and condition-based maintenance Plus (CBM+) using measured data collected by the condition monitoring system installed in a naval ship. The Republic of Korea (ROK) navy has adopted the interactive collection analysis system (ICAS) for integrated propulsion control system to perform CBM; however, effectively using the measured data from ICAS and installing additional sensors on ICAS to measure a particular set of data are very difficult because of ICAS license limitations. Recently, quality problems of the propulsion shaft system have been occurring frequently. Therefore, a real-time monitoring and evaluation system is required to ensure the quality of the propulsion system. In this research, a condition monitoring system is proposed for propeller shock, one of the most common quality problems of the shaft system. In addition, using a digital twin is proposed for evaluating the health of the shaft system.