结合全信息技术、小波分析以及信息熵的基本理论,提出全信息小波能量熵的概念。用小波分析将两个垂直通道的信号分别分解至不同的频率带,综合所有分解系数计算得到小波熵,对融合信号能量分布的紊乱程度进行量化。仿真计算表明,全信息小波能量熵能反映融合振动信号能量分布的复杂性,且对能量分布的变化较为敏感,可作为衡量设备工作状态的指标,应用于旋转机械状态监测中。
Combineing with the basic theories of the full information technology, the wavelet analysis and the entropy, the conception of full-information-wavelet-energy-entropy was proposed. By respectively decomposing the signals from two channel which were perpendicular to each other to different frequency bands and calculating the wavelet energy entropy with all decomposition coefficients, the disorder degree about the energy distribution of the fused signal could be quantized. The simulation shows that the full information wavelet energy entropy can reflect the complexity of the energy distribution of the fused signal and it is sensitive to the variation of the energy distribution. Therefore, it can be used in rotating machine condition monitoring as a feature which can evaluate the working state of the equipment.