Abstract:

Detection of remainders in aerospace electronic equipment plays a significant role in the safety and reliability of a space system, and the particle impact noise detection (PIND) method is widely used to detect the remainders. Drive signals in the PIND system are mostly shock and sinusoidal waves. The random signal can be a better one for the PIND system to improve the inspection probability and the inspection accuracy. However, the random signal increases difficulties in analyzing the characteristics of the remainders. Therefore, an analysis method on the characteristics of remainders in aerospace electronic equipment based on the empirical mode decomposition (EMD) and the Hilbert-Huang transform (HHT) is proposed, and its validity and excellencies are finally proven.