Optimal system decomposition for distributed fault detection: Insights and numerical results

The paper deals with the problem of defining the optimal topology for a distributed fault detection architecture. A partition-based distributed fault detection method is considered based on the model of the system. The system is decomposed into subsystems and each subsystem is monitored by one local diagnoser. Non-overlapping decompositions are considered. A novel cost function is proposed to measure the detectability properties of a distributed fault detection method, depending on the topology of the detection framework. Different objective functions are taken into account and compared in order to analyze the influence of the decomposition on fault detection performance. Preliminary numerical results show that the minimization of the coupling between subsystems could not be always the best choice for the fault detection performance, and that the proposed cost function minimization allows the reduction of the detection time with the considered fault detection method.The final publication is available at sciencedirect.com via https://doi.org/10.1016/j.ifacol.2018.09.634. C. Gei, F. Boem, and T. Parisini, Optimal system decomposition for distributed fault detection: Insights and numerical results, IFAC-PapersOnLine, Volume 51, Issue 24, 2018, Pages 578-585