Research on Auto-detection for Remainder Particles of Aerospace Relay Based on Wavelet Analysis

Aerospace relay is one kind of electronic components which is used widely in national defense system and aerospace system. The existence of remainder particles induces the reliability declining, which has become a severe problem in the development of aerospace relay. Traditional particle impact noise detection (PIND) method for remainder detection is ineffective for small particles, due to its low precision and involvement of subjective factors. An auto-detection method for PIND output signals is proposed in this paper, which is based on direct wavelet de-noising (DWD), cross-correlation analysis (CCA) and homo-filtering (HF), the method enhances the affectiv-ity of PIND test about the small particles. In the end, some practical PIND output signals are analysed, and the validity of this new method is proved.     

基于多层感知机的密封继电器PIND信号识别

设计了一套航天密封继电器信号识别方法，基于微粒碰撞噪声检测(PIND)法，通过对信号的时域及频域的特征分析选取了多个具有代表性的特征。运用了机器学习方法，采用多层感知机并对其进行超参数寻优，找到了最优的超参数组合。对信号进行处理分析来判断密封继电器内是否存在多余物。提高了分类的准确率，同时也提高了模型的整体性能。     

航天继电器多余物颗粒碰撞噪声检测的单周期稳定性分析

航天继电器的可靠性影响着国防电子系统的可靠性,而多余物问题的预防与检测是提高航天继电器可靠性的关键因素。颗粒碰撞噪声检测(PIND)是航天继电器多余物检测的行业规范,目前缺乏对其工作机理的理论研究,其检测效果并不理想。本文从动力学的角度,建立了PIND的数学模型,推导了粒子作单周期等幅振动的必要条件和稳定性条件,并给出了相应的仿真分析。