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利用声发射(AE)技术进行储罐罐底腐蚀检测过程中,不仅要获得声发射信号,还要根据声发射源分布的疏密了解罐底各处的腐蚀情况.传统方法一般采用人工方式进行腐蚀区域划分和识别,效率和准确率都低.为解决该问题,提出了一种基于小波聚类的罐底声发射源聚集区域自动识别方法.算法过程主要包括:划分网格、二维离散小波变换、区域查找和标记、确定声发射源所属区域等步骤.现场实验数据表明,该方法能够对任意分布形状的声发射源聚集区域进行自动识别,特别是能够将因加热盘管腐蚀产生的声发射源划分到同一区域,有效提高了对罐底腐蚀评估的效率和准确性.此外,以声发射源分布信息熵作为区域识别有效性的评价指标,选择信息熵最大的识别结果作为最终声发射源聚集区域识别结果最为有效.
The use of acoustic emission (AE) technology for tank bottom corrosion detection process, not only to obtain the acoustic emission signal, but also according to the density distribution of acoustic emission sources to understand the corrosion around the tank bottom.Traditional methods are generally carried out manually In order to solve this problem, a method of automatic recognition of the accumulative area of acoustic emission sources in the tank bottom is proposed, which mainly includes: dividing the grid, two-dimensional discrete Wavelet transform, area search and marking, and the determination of the area of acoustic emission source etc. The field experimental data show that this method can automatically identify the area where the acoustic emission sources of any distribution shape are gathered, especially the corrosion caused by the heating coil Acoustic emission source is divided into the same area, which effectively improves the efficiency and accuracy of tank bottom corrosion assessment.In addition, using the information entropy of acoustic emission sources as the evaluation index of the effectiveness of regional identification, the recognition result with the largest information entropy is selected as the final sound Emission source gathering area identification result is most effective.