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    基于多幅连续相关法的超声检测信号的缺陷识别技术

    Defect Recognition of Ultrasonic Testing Signals Based on Multi-Frame Correlation

    • 摘要: 相关法是时域中描述信号相似性特征的一种常用分析方法。文章基于数字相关法,针对超声检测中的大量检测回波信号,提出了一种多幅连续相关的处理方法,以实现超声检测信号的缺陷追踪与识别,并在实际检测试验中采用该方法对A型扫查的大量超声自动化检测信号进行处理,不仅有效地排除了随机干扰,同时保留了缺陷信号的完整信息,缺陷识别稳定、快速,识别准确率可达90%以上。

       

      Abstract: Correlation is a useful method to describe the similarity between signals in time domain. Based on digital correlation, a new method of multi-frame correlation is introduced to process large amount of inspection signals and complete defect recognition in the experiment of ultrasonic testing, and in this process, the multi-frame correlation method not only eliminates the random disturbing signals, but also acquires a high correct rate beyond 90% of defect recognition.

       

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