遥测振动信号EMD-WVD分布应用研究

飞行器飞行试验采集的遥测振动信号频段丰富、成分构成复杂,合理有效地解读其包括的时频信息在分析飞行器结构和环境特性方面至关重要。依托经验模态分解(EMD)方法将复杂信号分解成准单分量信号,借助相关系数法将伪分量信号剔除,保证分解信号的有效性。通过EMD和 WVD方法的结合,将保留的准单分量信号进行WVD变换并做平滑伪处理,从而获得复杂信号的时频分布。EMD-WVD组合模型经在仿真信号上的应用检验,能够检测信号自身的时频特性,进一步应用其在遥测振动信号上,同平滑伪WVD抑制交叉项方法进行了比较,结果表明EMD-WVD组合模型更加有效,能够反映复杂工程信号的时频分布特性。

Use of the EMD and WVD as Applied to the Telemetry Vibration Signal

. Aircraft flight test telemetry vibration signal band gathered rich and complex Composition, reasonable and effective interpretation information is crucial in the analysis of aircraft structure and its environmental characteristics include the frequency. Relying on empirical mode decomposition (EMD) method complex signal into quasi-single component signal, with the correlation coefficient pseudo component signal removed, ensure the validity of the decomposition of the signal. By combining EMD and WVD method, the quasi-single component of the signal remains were smoothed pseudo WVD transform and do treatment, thereby obtaining a complex signal frequency distribution. EMD-WVD combined model through the simulation test signal applications can be detected when the frequency characteristics of the signal itself. Its further application in the vibration signal telemetry, with smoothed pseudo WVD cross-term suppression methods are compared, the results show that EMD-WVD combination model more effective, when the project to reflect the complex - frequency distribution.