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500 mm×500 mm×2 mm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40 mm×40 mm，且每个区域定位时间小于1011 ms。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 identification system of impact location is constructed by a fiber Bragg grating (FBG) sensor network, and the wavelet transform, the frequency spectral analysis and support vector classifiers algorithm are used to identify the impact location. According to the impact test on the division area, the relationship between the impact area and signal characteristics is explored. On the basis of using wavelet transform to remove the low velocity impact signal baseline interference, the identification method of low velocity impact area location based on signal amplitude frequency characteristics is proposed. Support vector classifiers machine whose input is signal amplitude frequency characteristics and output is impact area to realize the identification of low velocity impact area location is built. The result shows that for 36 impact area on the 500 mm×500 mm×2 mm carbon fiber reinforced plastics plate under test, 33 impact area is accurate identification, regional location accuracy is above 90%, regional location accuracy is 40 mm×40 mm and each area identification time is less than 1011 ms. The research results provide a scientific and reliable method for the identification of the carbon fiber composite material plate location.