Abstract
A crucial point in a model-based fault diagnosis system is its robustness to the influence of unmodelled uncertainty. Extending the framework of FDI system presented in our previous works to the case of presence of unmodelled uncertainty is a practical way to build such robust system. The framework of the robust FDI system includes three principal elements: the robust identification of model parameters, the Kullback Discrimination Index(KDI) including the information of unmodelled uncertainty, and the robust decision making. In this paper, we will focus on the analysis of the KDI including the information of unmodelled uncertainty. Some simulations have been carried out to study the effects of the unmodelled uncertainties.
