Fault Monitoring and System Diagnosis Through Bayesian Inference

"In this program Advanced Ceramics Research (ACR) and the University of California Los Angeles (UCLA) will team to develop and demonstrate a real-time monitoring and fault detection system for a network of Unmanned Aerial Vehicles (UAV's). The goal of theprogram will be to monitor critical network state variables, detect changes and, most importantly, failures and ensure that this information is communicated to the proper layers and locations in the network to enable rapid reconfiguration of the systemstatus based on widely varying levels of diagnostic support. The UCLA software package will be integrated with the Smart War-fighter Array of Reconfigurable Modules (SWARM) developed by ACR. In Phase I the team will demonstrate the monitoring system withactual flight testing featuring a variety of induced system failures. A succesful Phase I will lead to a Phase II program for the development of a much more comprehensive and agile monitoring system. Commercial markets are large, widespread, and includeapplication in Navy SWARM UAV's., medical diagnosis, assembly line control, and remote technical support."