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An Acoustic emission event determination method for acoustic emission testing of tank bottom based on cluster analysis

机译:基于聚类分析的罐底声发射测试声发射事件确定方法

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Acoustic emission (AE) testing method has been widely used for examining tank bottoms. As there is no need to empty the tanks, this method can save a lot of time and money. The evaluation of tank bottom corrosion based on AE testing method is realized by analyzing the number of effective AE events. An effective AE event is an AE event located on the tank bottom. Each AE event is composed of more than three AE signals received by different AE sensors, and the signals should be generated by the same AE source. However, the traditional AE event determination process is carried out without considering the situation where multiple AE sources generate signals simultaneously. So the traditional AE event determination method may identify the AE signals coming from different AE sources as one AE event, which would produce incorrect test result. Also the traditional AE event determination method would be affected by fake hits due to noise. In order to improve the measurement accuracy, a new AE event determination method based on the cluster analysis is proposed. Experiments showed that the AE events extracted by using cluster analysis method are more accurate. In addition, the cluster analysis method exhibits good noise resistance so that it can increase the accuracy of tank bottom integrity evaluation.
机译:声发射(AE)测试方法已广泛用于检查罐底。由于不需要清空水箱,因此该方法可以节省大量时间和金钱。通过分析有效声发射事件的数量,实现了基于声发射测试方法的罐底腐蚀评价。有效的AE事件是位于水箱底部的AE事件。每个AE事件均由不同的AE传感器接收到的三个以上AE信号组成,并且这些信号应由相同的AE源生成。但是,传统的AE事件确定过程是在没有考虑多个AE源同时生成信号的情况下进行的。因此传统的AE事件确定方法可能会将来自不同AE源的AE信号识别为一个AE事件,这会产生不正确的测试结果。同样,传统的声发射事件确定方法也会受到噪声引起的假命中的影响。为了提高测量精度,提出了一种新的基于聚类分析的声发射事件确定方法。实验表明,采用聚类分析方法提取的AE事件更为准确。另外,聚类分析方法显示出良好的抗噪声性,从而可以提高罐底完整性评估的准确性。

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