西安石油大学学报（自然科学版）2024，Vol.39Issue(3)：137-142,6.DOI:10.3969/j.issn.1673-064X.2024.03.016
分布式光纤温度传感信号小波去噪方法
Wavelet Denoising Method for Distributed Fiber Optical Temperature Sensing Signal
摘要
Abstract
In a distributed fiber Raman temperature sensing system,anti Stokes light contains temperature information,but its intensity is relatively weak and susceptible to noise interference.Traditional signal denoising methods often filter out the original features of the system.An improved wavelet thresholding method was proposed to address this issue,combining the 3Sigm criterion with traditional al-gorithms.In this algorithm,the signal is subjected to wavelet decomposition,and then the threshold processing of all wavelet coefficients of decomposed layers are carried out.The useful signal and noise are distinguished using a 3 sigm value,and then wavelet reconstruction is performed to achieve signal denoising.The temperature measurement experiments on long multimode fiber of 7 km are conducted and the experimental data are analyzed using the improved algorithm.The results show that the average fluctuation of the processed tempera-ture data by the improved method is 0.991℃,which is 0.888℃higher than the 2.422℃obtained by traditional algorithms.Com-pared with the traditional algorithms,the 3Sigm criterion algorithm improves temperature measurement accuracy and provides new ideas for the selection of threshold,making threshold selection more statistically significant.关键词
分布式光纤传感/测温精度/小波阈值/信号去噪Key words
distributed optical fiber sensing/temperature measurement accuracy/wavelet threshold/signal denoising分类
信息技术与安全科学引用本文复制引用
肖家悦,傅海威,陈苗,李根,程嘉慧..分布式光纤温度传感信号小波去噪方法[J].西安石油大学学报（自然科学版）,2024,39(3):137-142,6.基金项目
陕西省科技计划项目(2019GY-176) （2019GY-176）
西安石油大学研究生创新基金资助项目(YCS22213186) （YCS22213186）
