电磁超声多界面检测信号去噪方法研究

宋卫华; 王小民; 李明轩

doi:10.15949/j.cnki.0371-0025.2007.03.005

电磁超声多界面检测信号去噪方法研究

1 中国科学院声学研究所北京 100080;
2. 中国科学院研究生院北京 100029

基金项目:

国家自然科学基金资助项目(10234060,10574138,10474113)

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出版历程
- 收稿日期: 2006-07-18
- 修回日期: 2006-11-30
- 网络出版日期: 2022-08-08

Study on the denoising method for the electromagnetic ultrasonic echoes from multiple interfaces

1 Institute of Acoustics, The Chinese Academy of Sciences Beijing 100080;
2 Graduate school of the Chinese Academy of Sciences Beijing 100029

摘要

摘要: 为了解决传统压电超声换能器检测方式耦合不稳定的问题,将电磁超声应用于多层粘接结构界面检测。针对电磁超声界面检测信号噪声高和盲区大的问题,在电磁声换能原理和盲区成因分析的基础上,用小波阈值滤波和自适应抵消滤波方法对检测信号进行了处理,达到了降低信号噪声和减小盲区的目的。对钢板和双层橡胶粘接样品的回波信号处理结果表明:小波阈值滤波将信噪比提高了约12 dB,自适应抵消滤波有效地减小了由感生信号产生的盲区。

Abstract: The electromagnetic ultrasound is used in the detection of interfaces of the adhesive multilayer structures to solve the unstable coupling problem in ultrasonic testing by traditional piezoelectric transducers. Based on the analysis of the transforming mechanism of electromagnetic ultrasound energy and the resultant dead zone from mutual inductance of the transducer, the wavelet filtering by soft-thresholding and adaptive noise canceling methods are used simultaneously to the detected electromagnetic ultrasonic signals to overcome the drawbacks of the low signal to noise ratio (SNR) and the wide intrinsic dead zone of the transducer. Processed results in the interface detection of a three layered adhesive sample of steel and rubber materials demonstrate that the wavelet filtering enhances the SNR about 12 dB while the adaptive noise canceling narrows the dead zone effectively.

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文章访问数: 44
HTML全文浏览量: 10
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电磁超声多界面检测信号去噪方法研究

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Study on the denoising method for the electromagnetic ultrasonic echoes from multiple interfaces

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出版历程

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