Abstract
This work has been developed in the context of the faults diagnosis problem for nonlinear systems. The problem is viewed as the estimation of fault signals using extended state observers theory. A differential algebra approach is proposed to determine the observability and diagnosability of the system. A polynomial observer is used, to estimate the faults, for a multiple available outputs system. Other two schemes of nonlinear observers are used in the faults reconstruction process, only for comparison purposes. The first one is a reduced order observer while the second one is a sliding mode observer. The results of a real-time application are shown to illustrate these methodologies. The approaches were tested in the experimental setting Amira DTS200.
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