Parity-Space-Based FDI Approach for Advanced-Aeroengine Sensors

In this paper, a parity-space -based fault detection and isolation system for advanced turbofan engine sensors is proposed. The parity-space-based residual generator is constructed by using a parity vector, where the parity vector belongs to the parity space that is identified by using input/output data acquired from healthy aeroengine. These fault free aeroengine input/output data are stimulated by multi-sine signal inputs. Fault detection strategies and fault isolation strategies are proposed, which are designed according to robust principle. The schemes of aeroengine sensor fault detection and isolation system do not require a priori knowledge of the transfer matrix of linear model or the system order. The performance of the fault detection and isolation system is evaluated in a simulation environment at different operating points.