Abstract
Based on a recently developed approach to the design of unknown input observers, this paper presents a fault detection method for unknown systems with unknown input. By exploiting the properties of an assumed model structure, a residual signal is formed which is independent of the unknown input but dependent on the measurements and the unknown system parameters. With this signal, an identification algorithm with a residual-based resetting technique for the covariance matrix is obtained and used to track parameter changes caused by system faults. The method is demonstrated through its application to a simulated hydraulic turbine generating unit.
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