【摘要】 通过对信号的小波包分解的研究 ,提出了信号特征的小波包频率表示方法 ,表示信号对分解节点和频率的功率谱分布 ;同时提出以小波包频率表示为依据的特征信号重建方法。齿轮振动信号特征的小波包频率表示表明该表示方法能有效展示齿轮的技术状况的变化。将功率谱集中的相邻的结点上的分解结果重构 ,得到的时域特征信号也能展示齿轮的技术状况更多还原

【Abstract】 Based on the study of wavelet packet decomposition,a wavelet packet frequency representation(WPFR)of the features of a signal is presented to show the distribution of the power spectrum of the wavelet packet decomposition of the signal to its decomposition nodes,and a feature signal reconstruction method is then proposed based on the WPFR.Applications of the WPFR to gear vibration signals show the effectiveness of the representation in gear conditions.The decompositions into certain adjacent nodes with concentrated power spectrum are re constructed to obtain a feature signal in the time domain,which also demonstrates the gear conditions effectively.更多还原