【摘要】 汽轮机检测信号包含着丰富的反映其运行状态的信息,但由于各种噪声干扰,实测信号往往非常混乱,以致难以从中获得有用的信息。利用小波及小波包分解与重建以及小波变换对检测信号消噪,并画轴心轨迹图与降噪前对比,结果表明:利用小波降噪对信号进行处理,效果良好。更多还原

【Abstract】 Turbine testing signals contain rich reflects the operation condition of information,but because of the noise,the measured signal is very chaotic,so often get useful information.Use little affected wavelet packet decomposition and reconstruction and wavelet transform to detect signal de-noising,results show that by using wavelet de-noising in signal processing,the effect is good.更多还原