Fault detection, identification and reconstruction of sensors in nuclear power plant with optimized PCA method

Finally, sensor measurements from a real NPP are acquired to evaluate the optimized PCA method. Simulations with normal measurements show that false alarms are greatly reduced, that is, the accuracy and reliability of the PCA model are greatly improved with data preprocessing and false alarm reducing methods. Meanwhile simulations with drift measurements show that the optimized PCA model is fully capable of detecting, identifying and reconstructing the faulty sensors no matter with small or major failures.