Improving the Diagnostic Performance for Dynamic Systems through the use of Conflict-Driven Model Decomposition

This work studies potential ways of integration of two techniques for fault detection, isolation, and identification in dynamic systems: Lydia-NG suite of diagnosis algorithms and Consistency-based Diagnosis with Possible Conflicts. By integrating both techniques, LydiaNG will benefit from a more efficient fault detection and isolation task, and Possible Conflicts will benefit from the identification capabilities of Lydia-NG. In this paper, we define a common framework that integrates both techniques, and then we apply the proposed integrated approach to a three-tank system, and draw some conclusions about potential ways of integration.