FDI & Reconfiguration on Aircraft Engine by Hamming-NN&UIO*

Fault detection, isolation and reconfiguration process has a vital importance especially in aviation sector. In this sector, health fault diagnosis can avoid systems abnormal situations and provides operational continuity of the aircraft system. In this study, a model-based fault detection-isolation-reconfiguration process is offered for finding faulty sensor using an engine model. `Unknown Input Observer (UIO)´ is used for fault detection, `Generalized Observer Scheme (GOS)´ is used for fault isolation and finally `Hamming Neural Network´ is used as a decision maker in the reconfiguration of faulty sensor.