一种新的时频分析方法――局部特征尺度分解

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在定义瞬时频率具有物理意义的内禀尺度分量（Intrinsicscalecomponent,ISC）的基础上,提出了一种新的自适应时频分析方法――局部特征尺度分解（Localcharac-teristic-scaledecomposition,LCD）,该方法可以自适应地将一个复杂信号分解为若干个ISC分量之和.分别采用LCD方法和经验模态分解（Empiricalmodedecomposition,EMD）方法对仿真信号进行了分析,分析结果表明：2种方法都可以有效地对信号进行分解,但LCD方法在计算效率和抑制端点效应等方面要优于EMD方法.此外,还将LCD方法应用于滚动轴承故障诊断,实验信号的分析结果进一步表明了该方法的有效性. Based on the definition of intrinsic scale component （ISC）, a new self-adaptive time-frequency analysis method,i, e. , local characteristic-scale decomposition （LCD）, was proposed. By using LCD, a complicated signal can be decomposed into a number of ISC,whose instantaneous frequencies have physical meaning. The processed simulation signal was analyzed by LCD and empirical mode decomposition （EMD）. The analysis results have demonstrated the validity of the two decomposition methods. Moreover, LCD is superior to EMD in computational efficiency and restriction of end effects. In addition, LCD is also applied to fault diagnosis for roller bearing and the analysis results from the actual fault vibration signal have fur- ther proved the effectiveness of LCD.