In this paper, the ''passive approach'' to robust fault detection and isolation (FDI) is presented in the context of observer methodology, when a model with parameters bounded in intervals (''interval model'') is used, deriving the interval version corresponding to the classical use of observers. The passive approach is based on allowing the effect of the uncertainties to propagate into the residuals and then the principle of adaptive thresholds is used to achieve robustness. Finally, the approach proposed is applied to detect some of the faults proposed in an industrial actuator used as an FDI benchmark in the European RTN DAMADICS. r

Nuclear facilities often require continuous mo nitoring to ensure there is no contamination of radioactive materials that might lead to safety or environmental issues. The current approach to radiological monitoring is to use human operators, which is both time consuming and cost in efficient. As with many repetitive, routine tasks, there are considerable opportunities for the process to be improved using autonomous robotic systems. This article describes the design and development of an autonomous, groundbased radiologicalmonitoring robot, Continuous Autonomous RadiationMonitoring Assistance (CARMA), and how, when it was deployed in an active area at the U.K. 's Sellafield nuclear site, it detected and located a fixed a source embedded into the floor. This deployment was the first time that a fully autonomous robot had ever been deployed at Sellafield, the largest nuclear site in Europe. Expanding Efforts in an Increasingly Important FieldMonitoring nuclear facilities and rapidly identifying any spread of radiological materials is of global concern.

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