FDIA System for Sensors of the Aero-Engine Control System Based on the Immune Fusion Kalman Filter

Table 4

Simulation results of FDIA systems under Rayleigh noise.

Fault type	Method	State	Correct	False alarm	Error	Correct rate (%)
Hard fault	Immune fusion Kalman filter	1	784	15	1	98.0
		2	782	14	4	97.8
	Kalman filter bank	1	534	40	226	66.8
		2	538	45	217	67.2
	Kalman particle filter	1	780	16	4	97.5
		2	784	13	3	98.0
Soft fault	Immune fusion Kalman filter	1	761	23	16	95.1
		2	752	29	19	94.0
	Kalman filter bank	1	531	42	227	66.4
		2	514	48	238	64.3
	Kalman particle filter	1	758	24	18	97.6
		2	763	22	15	95.4