中文摘要：

针对直升机尾传动轴振动辨识问题,提出了基于快速线调频小波匹配追踪的原子滤波算法,并进行了振动辨识。该算法基于快速线调频小波匹配追踪稀疏分解算法,通过对分解得到的稀疏原子进行带通、幅值滤波的预处理,采用基于原子几何框架重叠与邻近原则的原子选择和基于原子调频斜率差异特性的毛刺原子去除方法,实现了特征原子的筛选。实验研究表明,快速线调频小波匹配追踪算法能够得到尾传动轴的稀疏分解,并能准确识别机械系统的振动特征;采用相应原子滤波方法成功分解得到了尾传动轴上的尾桨激励振动特征信号。

英文摘要：

In view of vibration identification of the tail driving shaft of helicopters,an atomic filtering algorithm based on rapid chirplet matching traking is proposed,and the vibration identification for the shaft is implemented.The characteristic atoms are selected using the proposed filtering algorithm in which the overlapping and adjacent rules of atomic geometric frames are adopted and burr atoms are rejected according to the absolute difference of atomic chirp rate after a preprocessing of band-pass and amplitude filtering to select chirplet atoms using the rapid matching tracking method.The experiments show that the vibration signal of the tail driving shaft can be decomposed sparsely,and the vibration characteristics can be identified accurately.The characteristic vibration signals due to the excitation from the tail rotor are decomposed successfully using the atomic filtering method.