In this paper, a preliminary novel distributed
fault detection architecture for dynamic systems using sensor
networks and a distributed estimation method based on Pareto
optimization is proposed. The goal is to monitor large-scale or
distributed systems by using a sensor network where each node
acts as a local estimation agent without centralized coordination.
Probabilistic detection thresholds related to a given rate of false
alarms are derived in several different scenarios as far as the
measurement pattern and the nominal dynamics is concerned.
Preliminary simulation results show the effectiveness of the
proposed fault detection methodology.
