Analysis of Simulated AE Signal Characters Based on Wavelet Transform
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摘要: 小波变换作为一种新的信号处理方法，可对任一时刻、任一频段的声发射信号进行时频分析。通过基于Gaussian方程的Gabor小波及其Fourier变换，研究了Q235B钢板中三种声发射模拟信号的特点及三种信号的区分和识别。试验表明，基于小波变换的信号处理方法对于研究实际声发射信号的特点、声发射源的特征和定位以及传感器选择有一定的帮助。Abstract: As a kind of new method of signal analysis and processing, the wavelet transform could be used to analyze any time and any frequency of AE signal in the time and frequency domain. The wavelet transform is applied to AE signal processing and it will be helpful to the development and popularization of AE technique. The characters and recognition of simulated AE signals in Q235B were researched by using Gabor wavelet and Fourier transform, which were based on Gaussian function. The experiment showed that it would be helpful to study the characters of AE signal and source and choose the right sensor.
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Keywords:
- Acoustic emission /
- Wavelet transform /
- Signal processing
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