基于变参数域和短时高斯线性调频基的自适应信号分解算法

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振动与冲击 ›› 2015, Vol. 34 ›› Issue (12) : 133-139.

论文

郭剑峰1，2,刘金朝2，王卫东2

作者信息 +

Change Parameters Domain and Short Time Adaptive Gaussian Chirplet Signal Decomposition Algorithm

Guo Jian-feng1,2 Liu Jin-zhao2 Wang Wei-dong2

Author information +

文章历史 +

摘要

基于高斯线性调频基的参数化时频分析方法由于具有很高的时域和频域分辨能力，而被广泛应用于非线性非稳态信号的分解和特征提取中，但其巨大的计算量常常让工程人员望而生畏。因此结合变参数域和短时傅立叶变换的方法提出了一种改进的短时高斯线性调频基自适应信号分解算法，将四参数优化问题转化成窄带范围的两参数优化问题，提高了参数化时频分析的时效性。利用改进算法对四原子组合的非线性解析信号和动检列车轴箱振动加速度信号进行分解，结果表明该方法能有效消除交叉项干扰，时频分辨率高，而且具有计算量小，速度快的优点，对分析动检列车轴箱振动与轮轨短波冲击有实际意义。

Abstract

On parametric time-frequency analysis method based on Gaussian chirplet function has the best time-frequency resolution. It is widely used in non-linear and non-stationary signal decomposition and feature extraction. But it has a large amount of computation. A reformed short time Gaussian chirplet signal decomposition algorithm based on change parameters domain method and short time Fourier transform (STFT) is proposed. It changes four parameters optimize problem to two parameters in a narrow range and improve the efficiency of computation. Using this reformed algorithm decomposes a four atoms non-linear analytic signal and high speed comprehensive inspection train’s axle box vibration acceleration signal, the result shows this algorithm can avoid the cross-term’s interferer and computes very fast. It can be applied to analyze the vibration of the axle box and wheel-rail shortwave shock.

导出引用

郭剑峰1，2,刘金朝2，王卫东2. 基于变参数域和短时高斯线性调频基的自适应信号分解算法[J]. 振动与冲击, 2015, 34(12): 133-139

Guo Jian-feng1,2 Liu Jin-zhao2 Wang Wei-dong2. Change Parameters Domain and Short Time Adaptive Gaussian Chirplet Signal Decomposition Algorithm[J]. Journal of Vibration and Shock, 2015, 34(12): 133-139

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