Detection of Additive and Multiplicative Faults - Parity Space vs. Parameter Estimation

Abstract Faults which appear in technical processes can often be described as additive or multiplicative faults with respect to the process model. To detect and identify these kinds of faults two model based methods, the parity space approach with adaptive thresholds and the parameter estimation, are used. Starting with theoretical investigations on a simple example both schemes are applied to a d.c.motor. The results and the different properties are compared. Finally a combination of both methods is proposed to achieve optimal fault detection.

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