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题名

(INVITED)Oil and Gas Pipeline Leakage Recognition Based on Distributed Vibration and Temperature Information Fusion

作者
通讯作者Wang,Feng
发表日期
2021-12-01
DOI
发表期刊
EISSN
2666-9501
卷号5
摘要
It has great significance to monitor the oil and gas pipeline leakage to reduce economic loss and environmental pollution. In this paper, we propose a method to recognize the leakage of oil and gas pipeline based on both vibration and temperature information according to the distributed optical fiber sensor's measurement ability. After comparing various feature values and different classifier models, we choose six temperature feature values, five vibration feature values, and the random forest model as the optimum combination for the pipeline leakage recognition. The method can accurately recognize the states of leakage, interference, and normal operation. The average recognition accuracy is 98.57%, which is higher than the traditional single-parameter judgment method, and the recognition time is only 6.79 ms.
关键词
相关链接[Scopus记录]
语种
英语
学校署名
其他
Scopus记录号
2-s2.0-85117918722
来源库
Scopus
引用统计
被引频次[WOS]:17
成果类型期刊论文
条目标识符http://sustech.caswiz.com/handle/2SGJ60CL/327973
专题工学院_电子与电气工程系
工学院
作者单位
1.Key Laboratory of Intelligent Optical Sensing and Control Technology of Ministry of Education,Nanjing University,Nanjing,210023,China
2.College of Engineering and Applied Sciences,Nanjing University,Nanjing,210023,China
3.Department of Electrical and Electronic Engineering,Southern University of Science and Technology,Shenzhen,518000,China
推荐引用方式
GB/T 7714
Wang,Feng,Liu,Zhen,Zhou,Xiao,et al. (INVITED)Oil and Gas Pipeline Leakage Recognition Based on Distributed Vibration and Temperature Information Fusion[J]. Results in Optics,2021,5.
APA
Wang,Feng.,Liu,Zhen.,Zhou,Xiao.,Li,Shiyi.,Yuan,Xinyu.,...&Zhang,Xuping.(2021).(INVITED)Oil and Gas Pipeline Leakage Recognition Based on Distributed Vibration and Temperature Information Fusion.Results in Optics,5.
MLA
Wang,Feng,et al."(INVITED)Oil and Gas Pipeline Leakage Recognition Based on Distributed Vibration and Temperature Information Fusion".Results in Optics 5(2021).
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