Machine-Learning-Assisted Leak Detection Using Distributed Temperature and Acoustic Sensors
Author:
Affiliation:
1. Department of Computer Science and Engineering, Louisiana State University, Baton Rouge, LA, USA
2. Department of Petroleum Engineering, Louisiana State University, Baton Rouge, LA, USA
Funder
U.S. Nuclear Regulatory Commission
Center for Innovation in Structural Integrity Assurance under the National Science Foundation
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Instrumentation
Link
https://ieeexplore.ieee.org/ielam/7361/10400385/10341287-aam.pdf
Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
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2. Machine Learning for Automated Sand Transport Monitoring in a Pipeline Using Distributed Acoustic Sensor Data;IEEE Sensors Journal;2024-07-15
3. Deep-learning-assisted automated detection of gas influx signature in wellbore using distributed acoustic sensor data;Optical Waveguide and Laser Sensors III;2024-06-07
4. A Novel Magnetoelectric Composite Probe for Dynamic and Rapid Inspection of Minor Metal Loss Defects in Pipelines;IEEE Sensors Journal;2024-05-15
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