虚部噪声辅助LCD方法及其在遥测振动信号处理中的应用

发布时间：2018-04-08 16:46

本文选题：遥测振动信号　切入点：局部特征尺度分解方法　出处：《振动与冲击》2017年12期

【摘要】：针对局部特征尺度分解方法(Local Characteristic Scale Decomposition,LCD)的模态混叠以及集成局部特征尺度分解法(Ensemble LCD,ELCD)在集成平均时容易引入新的模态混叠、伪分量和运算量大等问题。提出一种基于虚部噪声辅助局部特征尺度分解法(Image Noise Assisted LCD,INALCD);首先以原信号为实部添加虚部白噪声构成复数信号,然后对复数信号在指定方向上进行投影,求取对称投影象限的基函数,通过投影后虚部白噪声均匀化原信号投影的极值点的分布,辅助信号分解过程中极值点的选取,抑制模态混叠,最后将对称投影象限的基函数进行线性组合消除噪声的影响,避免了ELCD因集成平均带来的相关问题。仿真和实测数据实验结果表明,该方法在降低模态混叠的同时,大大减少了计算量,性能优于LCD和ELCD方法。
[Abstract]:Aiming at the problems of modal aliasing of Local Characteristic Scale DecompositionLCDs and Ensemble LCD-ELCD-ELCDs, it is easy to introduce new modal aliasing, pseudo-component and large computational complexity in the integration of the average local feature scale method (LCD-LCD-LCD-LCD-LCD-LCD-LCD-LCD-LCD-LCD-LCD).A new method based on virtual part noise aided local characteristic scale decomposition is proposed. Firstly, the original signal is composed of white noise, and then the complex signal is projected in a specified direction.The basis function of symmetric projection quadrant is obtained, and the distribution of extreme points of original signal projection is homogenized by white noise after projection, and the selection of extremum points in the process of signal decomposition is assisted to suppress mode aliasing.Finally, the basis function of symmetric projection quadrant is linearly combined to eliminate the influence of noise, which avoids the related problems caused by the integration average of ELCD.The simulation and experimental results show that the proposed method can greatly reduce the computational complexity while reducing the mode aliasing, and its performance is better than that of LCD and ELCD methods.
【作者单位】：中国人民解放军91550部队94分队;
【分类号】：TN911.7

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