System health management of safety critical systems using artificial neural networks
Safety critical systems are the systems which defines the safety and monitors the system performance based on some safety criterions. A system health management (SHM) system monitors the safety critical system while it is in operation, and thus is able to detect faults, as soon as they occur. In this paper we propose an approach to determine the system health using artificial neural network. Unmanned Aerial Vehicle is used as a case study to demonstrate the SHM approach using ANN.