A Distributed Fault Detection And Isolation Algorithm Based On Moving Horizon Estimation

This paper presents a new distributed iterative model-based fault detection and isolation scheme based on moving horizon estimation (MHE). The system is partitioned into sub-units and local MHE algorithms are used to estimate both the local states and the possible faults, modeled as additive signals on the inputs and/or the outputs. A preliminary convergence analysis of the algorithm is reported and a simulation example is discussed to witness the performance of the approach. (C) 2017, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.