Comparison of large LWR to SMR under LOCA for future development of autonomous operation algorithm

The results showed some success of correctly identifying the break size when the break location is given with large PWR and SMR conditions. New phenomena, such as nonlinearity issue can be identified with large PWR conditions. On the contrary, high linear characteristics are shown for SMR conditions. For this reason, tracking the break size under SMR conditions was faster with the suggested algorithm. Since the sensitivity and response of SMR are more linear than those of a large PWR, the number of training sets can be reduced in case of using machine learning method for autonomous operation later.