摘要
针对当前分布式光纤振动传感对振动干扰事件的识别容易过拟合以及泛化能力不强的问题,提出了一种基于分数阶傅里叶变换(FrFT)的分布式光纤振动事件识别方法。采用FrFT对时域振动信号进行时频变换,相比传统的时域方法多了一个新的分析维度。相比传统时频域方法,该方法不仅解决了时间分辨率和频率分辨率相互制约的问题,还增强了时频数据的特征丰富度,更利于深度模型的学习,可有效防止模型过拟合。户外实地实验表明,FrFT方法的识别准确率达到98.5%,且在专门的泛化测试集上依然能保持98%以上的准确率。同时引入更可靠的评估指标f1-score(f1-score是精确率和召回率的调和平均数)来综合评估精确率和召回率,该方法识别各事件的f1-score均高于0.975。
At present,the recognition of vibration events by distributed fiber optic vibration sensing is easy to overfit and the generalization ability is insufficient.We propose a distributed fiber optic vibration recognition method based on fractional Fourier transform(FrFT).The method uses FrFT for the time-frequency conversion of the time-domain vibration signals,which means adding a new analysis dimension compared with the traditional time-domain method.Compared with the traditional timefrequency domain method,this method not only solves the problem of mutual constraints of time resolution and frequency resolution but also enhances the feature richness of time-frequency data.It is more conducive to the learning of deep models and can effectively prevent model overfitting.Outdoor field experiments show that the recognition accuracy of the FrFT method reaches 98.5%,and the accuracy can still maintain more than 98%on the special generalization test set.At the same time,a more reliable evaluation index f1-score is introduced.The f1-score is the harmonic mean of precision and recall.It is used to comprehensively evaluate precision and recall.The f1-score of each event recognized by this method is higher than 0.975.
作者
孔小红
张明
管翰林
蒋陵
郭闯
Kong Xiaohong;Zhang Ming;Guan Hanlin;Jiang Ling;Guo Chuang(State Grid Jiangsu Electric Power Co.,Ltd.,Nanjing Power Supply Branch,Nanjing 210000,Jiangsu,China)
出处
《激光与光电子学进展》
CSCD
北大核心
2024年第5期159-164,共6页
Laser & Optoelectronics Progress
基金
国网江苏省电力有限公司科技项目(J2022102)。
关键词
光纤传感
分布式光纤传感
分数阶傅里叶变换
分布式光纤振动传感
fiber optics sensors
distributed optical fiber sensing
fractional Fourier transform
distributed fiber optic vibration sensing
