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Published in:
2017 | OriginalPaper | Chapter
2. Modelling Systems with Faults
Author : Andreas Varga
Published in: Solving Fault Diagnosis Problems
Publisher: Springer International Publishing
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Abstract
In this chapter, the main types of faults are first reviewed and linear time-invariant plant models with additive faults are introduced. These models represent the basis of the synthesis approaches of fault detection filters presented in this book. Models with fictive noise inputs can be used to account for the effects of parametric variations. Two approaches are presented to arrive at such models starting from linear parameter-varying models and multiple linear time-invariant models. Physical fault modelling leads naturally to multiple-model representations, which form the basis of the synthesis methods of model detection filters.