【摘要】 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.更多还原

【Abstract】 Adaptive wavelet analysis method was studied,and adaptive wavelet analysis was advanced that based on local features of signals and adaptive selection method about piecewise threshold.According to local features of detection signals of rotating machinery firstly analyzed in time-domain analysis,the wavelet function was sectionally adaptively selected to treat signals,and the threshold was sectionally calculated,and the wavelet signal treatment was produced.So signals features was mostly kept,and sign to noise rate of signals treatment was increased.2figs.,7refs.更多还原