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提出了基于信号局部特征的自适应小波分析以及分段阈值自适应选择方法.针对旋转机械检测信号首先在时域中分析信号的局部特征,根据其局部特征分段自适应地选择小波函数进行信号处理,并分段计算其相应的阈值,进行小波信号处理,从而最大限度地保留信号特征,提高信号处理的性噪比.图2,参7.
A method of adaptive wavelet analysis based on local features of signals and a method of adaptive selection of segment thresholds are proposed.Aiming at the local features of rotating machinery detection signals in the time domain, the wavelet functions are adaptively selected according to their local features Processing, and segment the corresponding threshold calculation, the wavelet signal processing, so as to maximize the preservation of signal characteristics, improve signal processing noise ratio.