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An Efficient Algorithm for Finding the Level of Useful Signals on Interpretation of Magnetic and Eddy Current Defectograms

机译:一种高效算法,用于查找磁性和涡流缺陷型解释的有用信号水平

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摘要

To ensure traffic safety of railway transport, non-destructive testing of rails is regularly carried out by using various approaches and methods, including magnetic and eddy current flaw detection methods. An automatic analysis of large data sets (defectgrams) that come from the corresponding equipment is still an actual problem. The analysis means a process of determining the presence of defective sections along with identifying structural elements of railway tracks on defectograms. At the same time, under the conditions of significant volumes of incoming information, fast and efficient algorithms of data analysis are of most interest. This article is an addition to the previous article devoted to the problem of automatic determination of a threshold level of amplitudes of useful signals (from defects and structural elements of a railway track) during the analysis of defectograms (records) of magnetic and eddy current flaw detectors, which contains an algorithm for finding the threshold level of a rail noise and its theoretical justification with examples of its operation on several fragments of real magnetic and eddy current defectograms. The article presents a simple and effective implementation of the algorithm, which is successfully used in practice for the automatic analysis of magnetic and eddy current defectograms.
机译:为确保铁路运输的交通安全,通过使用各种方法和方法定期对轨道进行无损检测,包括磁性和涡流探伤检测方法。来自相应设备来自的大数据集(缺陷图)的自动分析仍然是一个实际问题。分析是指确定存在有缺陷部分的过程以及识别在缺陷图上的铁路轨道的结构元件。同时,在重要的传入信息的条件下,数据分析的快速和高效算法最为兴趣。本文是前一篇文章的补充,该文章致力于自动测定磁性和涡流缺陷的缺陷图(记录)的分析期间有用信号的阈值水平(从铁路轨道的缺陷和结构元件)的阈值水平探测器,其中包含用于找到轨道噪声的阈值水平的算法及其在实际磁性和涡流缺陷图的若干碎片上的操作示例的理论典范。本文提出了一种简单有效的算法实现,其在实践中成功地用于磁性和涡流缺陷图的自动分析。

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