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Robustness is essential for model based FDI (Fault Detection and Isolation) and it is inevitable to have modeling errors and sensor signal noises during the process of FDI. This study suggests an improved method by applying NARX (Nonlinear Auto Regressive eXo genous) model and Kalman estimator in order to cope with problems caused by linear model errors and sensor signal noises in the process of fault diagnoses. Fault decision is made by the p robability of the trend of gradually accumulated errors applying Fuzzy logic, which are robust to in stantaneous sensor signal noises. Reliability of fault diagnosis is verified under various fault simulations.   FDI         FDI  .               NARX (Nonlinear Auto Regressive eXogenous)      .              .         . Key Words:Fault Tolerance(), Engine Controller(), NARX( ), Fault Detection and Isolation(  )Received 7 February 2016 / Revised 10 March 2016 / Accepted 14 March 2016

Sensor Fault-tolerant Controller Design on Gas Turbine Engine using Multiple Engine Models