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针对常规红外检测信号的脉冲相位法没有考虑测量噪音,简单的Fourier变换对数据信息的挖掘不足、利用率不高的问题,提出在处理中引入非高斯特性分析,应用三阶累积量和双谱估计对信号进行分析,提取发生损伤时信号的特性信息,得到分辨完好区域与损伤区域的特征判据。给出信号分析中三阶累积量和双谱的定义,分析其幅值和相位的对角切片谱在提取损伤特征方面的优势,最后对比分析两者在实际检测中的效果。结果表明:利用该方法具有良好的抗高斯和非高斯对称分布型噪音的优点,且运算量小、计算速度快。同时,弥补了传统脉冲相位法中幅值谱不宜使用的缺点。
Aiming at the problem that the pulse phase method of conventional infrared detection signal does not consider the measurement noise and the simple Fourier transform is not enough to dig data information and the utilization rate is not high, it is proposed to introduce non-Gaussian characteristic analysis into the processing, apply the third-order cumulant and bispectral It is estimated that the signal is analyzed and the characteristic information of the signal when the damage occurs is extracted to obtain the characteristic criterion for distinguishing the intact area and the damaged area. The definition of third order cumulant and bispectrum in signal analysis is given. The advantages of diagonal slice spectrum of amplitude and phase in extracting damage characteristics are analyzed. Finally, the effect of the two in actual detection is analyzed. The results show that this method has the advantages of good anti-Gaussian and non-Gaussian symmetric distributed noise, low computational complexity and high computational speed. At the same time, to make up for the traditional pulse phase method amplitude spectrum should not be used shortcomings.