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利用光纤布拉格光栅(FBG)构建传感器网络,结合小波变换、频谱分析和支持向量机分类算法,对碳纤维复合材料板低速冲击区域定位进行了研究。根据划分区域进行冲击试验,探索冲击区域与信号特征之间的关系。在对低速冲击信号进行小波变换去除基线干扰的基础上,采用傅里叶变换提出提取冲击信号幅频特性作为信号特征进行低速冲击区域定位识别的方法,将提取的信号幅频特性作输入、冲击区域类别作输出构建支持向量多分类机实现低速冲击区域定位识别。实验结果表明:在500mm×500mm×2mm的碳纤维复合材料板上对36个测试样本进行低速冲击区域定位识别,实现33个低速冲击区域准确定位,正确率达90%以上,低速冲击定位系统的区域识别精度为40mm×40mm,且每个区域定位时间小于1011ms。研究结果为碳纤维复合材料板的低速冲击区域定位检测提供了一种科学可靠的方法。
The sensor network was constructed by using Fiber Bragg Grating (FBG), and the localization of low velocity impact zone of carbon fiber composite plate was studied by combining wavelet transform, spectrum analysis and SVM classification algorithm. According to the impact of subdivision region to explore the impact of the region and the relationship between the signal characteristics. Based on the wavelet transform of low-speed impact signal to remove the baseline interference, the method of extracting the amplitude-frequency characteristics of the impact signal as the signal characteristic and locating and recognizing the low-speed impact area is proposed by using the Fourier transform. The extracted signal amplitude- Regional category for output to build support vector multi-classifier to achieve low-speed impact area positioning identification. The experimental results show that the low speed impact area of 36 test samples can be positioned and identified on 500mm × 500mm × 2mm carbon fiber composite plate, accurate positioning of 33 low velocity impact areas can be achieved with a correct rate of more than 90% The recognition accuracy is 40mm × 40mm, and the positioning time of each area is less than 1011ms. The results provide a scientific and reliable method for the positioning detection of low velocity impact area of carbon fiber composite plate.