Measurement ( IF 5.2 ) Pub Date : 2021-09-23 , DOI: 10.1016/j.measurement.2021.110126 Krzysztof Ciecieląg 1 , Agnieszka Skoczylas 1 , Jakub Matuszak 1 , Kazimierz Zaleski 1 , Krzysztof Kęcik 2
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Recurrence analysis is a method for the investigation of dynamic behavior changes in a nonlinear time-series. In this study, the application of recurrence analysis methods for detecting and locating composite defects based on drilling signals are proposed. Defects are modelled as different diameter holes drilled inside a composite material. Two composite materials are tested: glass fiber reinforced plastic (GFRP) and carbon fiber reinforced plastic (CFRP). The smallest detectable defects are determined for both materials. Additionally, the most promising recurrence quantifications are proposed for defect detection and localization.
中文翻译：
基于钻井力信号的聚合物复合材料缺陷检测与定位递归分析
递归分析是一种研究非线性时间序列中动态行为变化的方法。在这项研究中，提出了应用递归分析方法来检测和定位基于钻井信号的复合缺陷。缺陷被建模为在复合材料内部钻出的不同直径的孔。测试了两种复合材料：玻璃纤维增强塑料 (GFRP) 和碳纤维增强塑料 (CFRP)。确定两种材料的最小可检测缺陷。此外，提出了最有希望的递归量化用于缺陷检测和定位。
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