非线性消噪的LP方法在振动信号分析中的应用

Nonlinear Noise Reduction and Its Application to the Vibration Signal Analysis

采用局部投影(LP)方法对测量数据进行消噪处理,对被噪声污染的Henon映射数据进行了消噪前后的一致性检验,计算其消噪前后的关联维数。结果表明,该方法能较好地再现被污染信号的非线性特征,提高依据非线性特征进行发动机振动故障的分类和诊断的可靠性。

Noise has great influence on the time series signal analysis for aeroengine. To eliminate the measured noise, the local projective noise reduction is applied first. And then the consistence of the method is tested by means of estimating the correlation dimension of Henon map trajectory after noise reduction. It is proved that the method is effective to reproduce the nonlinear invariant parameters such as correlation dimension. The aeroengine signal is processed, and its correlation dimension is estimated accurately, which can describe the nonlinear characteristics properly and can be used to classify different faults.