Final Report Summary - FAULT-ADAPTIVE (Fault-Adaptive Monitoring and Control of Complex Distributed Dynamical Systems)
The FAULT-ADAPTIVE project has developed an innovative monitoring and control framework with learning algorithms for approximating, during operation, key correlations between measured variables.
The developed framework is based on a hierarchical fault diagnosis architecture, with neighboring fault diagnosis agents cooperating at a local level, while transmitting their information, as needed, to a regional monitoring agent, responsible for integrating in real-time local information into a large-scale “picture” of the health of the underlying system. A key motivation was to exploit spatial and temporal correlations between measured variables using learning methods, and to develop the tools and design methodologies that will prevent relatively “small” faults or unexpected events from causing significant disruption or complete system failures in complex distributed dynamical systems. The work developed in this project has made significant contributions to the application of advanced fault diagnosis methods to critical infrastructure systems, such as power and energy systems, water distribution networks, and intelligent transportation systems.