航空发动机尾气静电信号去噪方法研究

The Research of Aero-engine Exhaust Electrostatic Signal Denoising Methods

针对航空发动机尾气静电信号噪声大,信噪比低的状况,研究了静电信号去噪方法。通过对强制软阈值小波去噪、默认阈值小波去噪、自适应提升小波去噪以及经验模态分解去噪四种方法的深入研究。以及基于matlab平台对各去噪方法的实现。对比分析四种方法在航空发动机实际试车中静电信号的去噪效果。结果表明,EMD方法对于尾气静电信号有较好的去噪效果,其他三种方法也可以实现不同程度的去噪。

According to the high noise and low SNR conditions of aeroengine exhaust electrostatic signal, the methods of signal denoising are studed. Through indepth studying the theory of four methods of mandatory soft threshold wavelet denoising, the default threshold wavelet denoising, adaptive lifting wavelet denoising and empiri cal mode decomposition denoising, as well as implementing of the four kinds of denoising methods based on matlab platform, the denoising results of the four methods in electrostatic signal of an aeroengine commissioning process are compared. The results show that EMD does better for the exhaust electrostatic signals denoising, however the other three methods can achieve different levels of denoising as well.