Abstract:
Sensor Networks are widespread across a large spectrum of applications. Some are even deployed in
critical infrastructures, as the case of Structure Health Monitoring networks. However the sensors, due
to its nature and to the harsh environmental conditions that they withstand, are subject to faults that
may compromise the information quality that is indispensable for an effective safety control. In this
report we present an Innovations Approach to Fault Detection in Sensor Networks case study. We
study the possible application of the model based innovations approach to fault detection in sensor
networks in a SHM context. This report gives a brief introduction to the model-based Fault Detection
and Isolation (FDI) and a concise review of its state of the art. Next we introduce a data based FDI
approach in the context of sensor validation. Given the necessary background we describe the
method for sensor fault detection used in the case study. We then present the obtained results and
final considerations.
