IEE Proceedings D Control Theory and Applications · 1992 · 19 citations · 0 references
EngineeringSystems EngineeringCyber-physical SystemsDistributed SystemsDynamical SystemsFault DetectionFault IsolationKalman FilteringState EstimationStochastic NetworksStochastic Systems ModelingDecentralized Kalman FilteringFault EstimationKalman DecompositionKalman Filter-based Fault DetectionLadder SystemsSensor Fault Detection
A new approach is developed for fault detection in linear, stochastic, interconnected dynamic systems, based on designing a set of decentralised Kalman filters for the subsystems resulting from overlapping decomposition of the overall large-scale system. The malfunctioning sensors can be detected and isolated by comparing the estimated values of a single state from different Kalman filters. The new method is applied to a sixth-order system represented by a ladder network.