Empirical mode decomposition based reducing false alarm filter for built-in test signal

False alarm is the phenomenon that built-in test or other detection module indicates fault problem but actually no fault exists. High false alarm rate severely restricts the development of built-in test system. This paper reveals that doing extra processing on the intrinsic mode functions obtained from empirical mode decomposition, we can establish a filter with good performance in reducing false alarm rate. Simulations are carried out on steering gear feedback voltage signal of target drone aircraft, and the results show great improvement for built-in test signal to reduce false alarm phenomenon.