Analytical Redundancy Methods

Quantitative model-based failure detection and isolation (FDI) methods rely on the comparison of a system’s available measurements, with a-priori information represented by the system’s mathematical model. The term quantitative is used here as contrary to the term qualitative, denoting cruder sustem descriptions. There are two main trends of this approach, namely analytical redundancy or residual-generation methods and parameter estimation. This distinction is not universally adopted and some researchers consider these two approaches as belonging to the same category. However, for reasons of clearer presentation the distinction is adopted here, and parameter estimation methods will be presented in Chapter 3.

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