Abstract
The problem of robust residual generation in linear dynamic systems for fault detection and isolation is addressed in this paper. Some extensions to the traditional parity space methods are proposed. The properties of the Hankel matrices used in the classical optimization problem are studied in order to generate a residual more sensitive to faults characterized by a non zero mean. Then, a more general method based on the same principle as the parity space approach is proposed to avoid the problems due to the parity space definition. Combining these two improvements allow to decrease the detection delay and to distinguish easier the faults from the disturbances. A simulation example illustrates the proposed approach and the results are compared with the traditional parity space method.
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