基于合成孔径技术的轮对探伤成像算法研究
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Ultrasonic Detection of Wheels Image Algorithm Based on Synthetic Aperture Focusing Technique
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    摘要:

    为了提高轮对超声探伤成像的信噪比(SNR)和缺陷的检出率,针对轮对超声探伤的方法和特点,提出了将轮对探伤结果B扫描图像与合成孔径聚焦技术(SAFT)相结合的图像处理技术。通过建立SAFT算法的数学模型,设计了SAFT算法处理软件,并以内部含有缺陷的China Railway High speed(CRH)型车轮轮对为检测对象,进行了轮对探伤实验,实现并优化了基于SAFT算法的轮对超声探伤图像重建,验证了该技术的可行性和准确性。最后进行了SNR的定量数值计算和比较,结果表明,该技术能有效提高轮对超声探伤成像的SNR和分辨率,可提供更准确详实的缺陷信息,提高探伤系统检出率,从而有效保障车轮的安全运行。

    Abstract:

    In order to enhance signal to noise ratio (SNR) and the ratio of flaw detection of ultrasonic detection of wheels,a new image processing technique which combined B scan image of ultrasonic detection of wheels with algorithm for synthetic aperture focusing technique was put forward according to the methods and characteristics of ultrasonic detection of wheels.The mathematical model was established and processing software of SAFT algorithm was designed.The detection experiments were carried out on CRH type wheels which contained internal defects.The ultrasonic detection of wheels image reconstruction was achieved and optimized based on SAFT algorithm.The feasibility and accuracy of the technique were verified.Finally,quantitative numerical calculation and comparison of the SNR were implemented which demonstrated that the technique could effectively improve SNR and resolution of ultrasonic detection of wheels.It also provided more accurate defects information and enhanced the ratio of flaw detection,ensuring operation security of wheels effectively.

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李小娟.基于合成孔径技术的轮对探伤成像算法研究[J].压电与声光,2012,34(4):644-648. LI Xiaojuan. Ultrasonic Detection of Wheels Image Algorithm Based on Synthetic Aperture Focusing Technique[J]. PIEZOELECTRICS AND ACOUSTOOPTICS

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  • 在线发布日期: 2012-09-25
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