基于冲击时频原子的匹配追踪信号分解及机械故障特征提取技术

介绍一种用于匹配追踪信号分解的时频原子——冲击时频原子，它既可以匹配信号中的稳态正弦成分，也可以匹配信号中冲击成分，从而准确有效地获得设备的冲击故障特征和信息，并结合遗传算法以提高计算速度及实用性。计算机仿真结果证实了该方法的准确性，最后将该方法应用于转子实验台的冲击信号特征提取中，证明了该方法的工程实用性和有效性。

Signal Decomposition with Matching Pursuits and Technology of Extracting Machinery Fault Feature Based on Impulse Time-frequency Atom

In the paper a time-frequency atom,calledimpulse time-frequency atom,which is used for matching pursuits and signal extraction is introduced.This atom can match the stable sine component as well as the impulse component of the signal therefore is able to obtain the features and information of the impulse fault of the equipment exactly and effectively.Furthermore,with genetic algorithm the calculation speed and practicability of the algorithm are improved.It is testified by computer simulation and confirmed practically and effectively by the experiment of extracting impulse signal features on some rotor rig.