刘海江（1967—），男，教授，博士生导师，工学博士，主要研究方向为复杂装备数字化设计、智能制造与精密 检测技术。E-mail: firstname.lastname@example.org
1.School of Mechanical Engineering, Tongji University, Shanghai 201804, China;2.Shanghai Institute of Radio Equipment, Shanghai 200090, China
The presence of internal moving remainder in high-precision spacecraft is an important factor to reduce the reliability of spacecraft. Aiming at the problem that the existing remainder detection algorithm was difficult to effectively detect the remainder pulse and eliminate the interference of the movable component under relatively strong environmental noise, an algorithm for detecting the remainder of high-precision spacecraft based on spectrum subtraction denoising, two-stage pulse extraction and periodic analysis of pulse generation sequences was proposed. The spectrum subtraction method was used to achieve effective suppression of environmental noise. The two-stage pulse extraction method was used to extract the pulse of the remainder signal and the movable component signal. By analyzing the periodicity of the pulse generation sequence, the periodic signal similarity was used as the discrimination basis for distinguishing the remainder signal and the movable component signal; thereby the detection of the remainder was realized. The experimental verification shows that the proposed algorithm can effectively detect the existence of remainder and movable components in the spacecraft, and the recognition accuracy can reach 96％.