YU Xiaowen1， XU Liping1， LI Jian1， WANG Wei2
（1. School of Mechatronics Engineering， Henan University of Science and Technology， Luoyang 471003， China；
2. Luoyang Jinghaiyi Electromechanical Equipment Co.， Ltd， Luoyang， 471003， China）
Abstract： Aiming at the problems of low reliability and complex operation of traditional coin-tap test of composite material, this paper introduces the grey system theory and achieves better performance. The response signals of coin-tap are classified through the grey clustering based on relation analysis, and corresponding improvements are made to the calculation method of the relation degree of nearness. First, the time history of acceleration is taken as the system behavior sequence. The improved correlation calculation method is used to solve the relation degree of nearness between the sequences, and the matrix of degree of grey relation is constructed based on this. Then, the sequence groups are summarized through the matrix, and the response signals of coin-tap are qualitatively classified according to the location of the reference sequence. Finally, the defect detection of composite materials is completed without pre-testing. The test results show that the accuracy of the coin-tap test based on improved grey clustering reaches 100%, which simplifies the operation steps while ensuring the reliability of the coin-tap test results.
Key words： non-destructive testing； coin-tap test； grey clustering based on relation analysis； composite material
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基于改进灰色聚类的复合材料无损敲击检测方法
于晓文1， 徐莉萍1， 李健1， 王伟2
（1. 河南科技大学 机电工程学院， 河南 洛阳 471003；2. 洛阳精海仪机电设备有限公司， 河南 洛阳 471003）
摘要： 针对传统复合材料敲击检测方法可靠性低、 操作复杂的问题， 引入了灰色系统理论， 基于灰色关联聚类方法对敲击响应信号进行分类， 并对接近关联度的计算方法进行了相应的改进。 首先以加速度的时间历程作为系统行为序列， 利用改进的计算方法对各序列间的接近关联度进行求解并构建灰色关联矩阵。 然后通过灰色关联矩阵对序列组进行归纳合并， 根据参考序列所在位置对敲击响应信号进行定性分类， 最终在无需预先试验的情况下， 完成了复合材料的缺陷检测工作。 试验结果表明， 基于改进灰色聚类的敲击检测方法准确率达到100%， 在简化操作步骤的同时保证了敲击检测结果的可靠性。
关键词： 无损检测； 敲击检测； 灰色关联聚类分析； 复合材料
引用格式：YU Xiaowen， XU Liping， LI Jian, et al. A coin-tap method of composite materials non-destructive testing based on improved grey clustering. Journal of Measurement Science and Instrumentation, 2021, 12（1）： 120-126. DOI： 10．3969／j．issn．1674-8042．2021．01．016
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