Fault Detection and Isolation on the Basis of Dynamic Process Models

抄録

This paper outlines the basic concept of fault detection and isolation (FDI) in dynamic systems based on analytical process models and briefly reviews the most important approaches. Emphasis is placed upon residual generation using state observation techniques. Because of the strong impact of parameter variations on the applicability and efficiency of model-based FDI, the issues of parameter sensitivity as well as the design of robust FDI schemes are addressed in more detail.