Current sensor FDI by Generalized Observer Scheme for a generator in wind turbine

摘要

In this paper, we will tackle the problem of current sensor Fault Diagnosis and Isolation (FDI) of a doubly feed induction generator in wind turbine. First of all, the use of a Kalman filter to detect sensor fault will be illustrated. Then, the detection and the isolation of multiple sensor faults will be treated using a Kalman filter bank in a Generalized Observer Scheme. The fault assessment will be performed by the Page-Hinkley's test. The processus of the FDI will be validated on a real-time test bench.