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In order to detect and isolate the sensor/actuator fault the method of information fusion based on a bank of Kalman filter for fault detection and isolation (FDI) is proposed in this paper. Firstly,a bank of Kalman filters is developed for aircraft engine sensors,each of which is designed based on a specific hypothesis for detecting a specific sensor fault. Then,a bank of Kalman filters is also applied for the actuator FDI,the actuator fault is modeled as a bias. The system which utilizes a bank of Kalman filter is developed for aircraft engine sensor and actuator FDI. Finally,add the fault into sensor/actuator separately to test the method,the results indicate that the proposed FDI system is promising for reliable diagnostics of aircraft engine sensor and actuator.