Sensor selection techniques in device monitoring

For complex systems with large sensor complements, the authors develop a selective monitoring strategy to avoid information overload on system operators. They describe an approach to determining from moment to moment which subset of the available sensor data for a system is most informative about the state of the system and about interactions occurring within the system. They term this process sensor selection. The approach draws on concepts from causal reasoning and information theory. After describing the NASA test domain, they conclude with a report on the status of the implementation of the SELMON system