基于时频冲击原子分解的风力机叶片早期故障分析

Signal Decomposition with Wind Turbine Blade Based on Impulse Time-Frequency Atom

介绍一种自适应的基元函数选择方法,基于指定原子字典的具有冲击特性时频原子,基元函数的确定使得原有信号的原子分解即可以处理稳态正弦成分也可以处理冲击成分。有效地匹配模拟冲击信号中的冲击故障特征,且有效去除了噪声,并结合遗传算法提高了运算速度,从而在工程领域更具有实用价值。最后,将该方法应用于实验风力机叶片的监测早期故障所采集到的声发射信号特征提取中,证明了该方法的工程实用性和有效性。

In the paper a time-frequency atom, called impulse time-frequency atom, which is used for atomic decomposition 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 wind turbine blade initial failure.