基于匹配追踪的快速独立分析方法在轴承复合故障盲源分离中的应用

针对强噪声干扰下轴承复合故障信号难于提取分离的问题,提出基于匹配追踪的快速独立分析方法.首先,通过基于Gabor原子的匹配追踪方法对单通道故障信号进行降噪处理;然后,根据终止条件的不同数值条件得出多组重构信号,组成多组信号,实现信号升维;最后,通过快速独立分析方法对降噪处理后的复合故障信号进行盲分离.实验数据分析结果表明:所提方法具有可行性和有效性,为强噪声干扰下的复合故障信号分离与提取提供了一种方法.

Fast Independent Component Analysis Technique Based on Match Pursuit and Its Application to Extraction of Bearing Composite Fault

It is very difficult to extract and separate bearing composite fault information submerged in strong noise environment; therefore,the fast independent component technique based on match pursuit is proposed. Based on the match pursuit of Gabor atom,this method can first improve the signal to noise of single-channel mechanical signal and make the signal dimension raise,obtain many reconstruction signals,which make up multi-dimension signal and let signal dimension-raising come true. The denoising composite fault signals are separated by the fast independent component analysis technique. The analysis result of roller bearing composite fault experimental data shows that this separation of composite fault signals in strong noise environment has the feasibility and validity.