Unleashing potentials with deep learning: decoding the complex events for distributed fiber optic sensing applications

作     者：Yujiao LI Liqin HU Kuanglu YU 

作者机构：Institute of Information Science School of Computer and Information Technology Beijing Jiaotong University Beijing Key Laboratory of Advanced Information Science and Network Technology Beijing Jiaotong University 

出 版 物：《Science China(Information Sciences)》 (中国科学:信息科学(英文版))

年 卷 期：2024年第67卷第5期

页      面：337-338页

核心收录：

学科分类：0808[工学-电气工程] 08[工学] 080202[工学-机械电子工程] 081104[工学-模式识别与智能系统] 0802[工学-机械工程] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：supported in part by National Key Research and Development Program of China (Grant No. 2021YFB2900704) Fundamental Research Funds for Central Universities (Grant No. 021314380211) 

主　　题：Deep learning 

摘      要：After decades of research, distributed fiber optic sensors have become essential tools for precise long-distance measurements. They are applied across various sectors such as railway transportation, gas and petroleum, and smart grids. Signal processing, particularly in phase-sensitive optical time domain reflectometry(Φ-OTDR) event recognition and classification, is a primary research focus.