Subspace method aided fault detection for distributed identical systems

This paper deals with data-driven subspace identification method based fault detection for homogeneous distributed system. Since there are complex connections between local subsystems of distributed identical systems, the fault detection problem is complex and difficult. To cope with this problem, the basic idea is to divide the spatially lifted large-scale homogeneous distributed systems into some independent subsystems by state, input and output transform. After that, data-driven SIM fault detection method is applied to distributed systems to identify residual generator from converted input and output data. The effectiveness of the proposed fault detection method is verified by a simulation example.