Small Leak Detection Based on the Combination of Improved Fast Differential Algorithm and Integral Algorithm-Reference-Cited by-同舟云学术

Small Leak Detection Based on the Combination of Improved Fast Differential Algorithm and Integral Algorithm

Published:2021-11 Issue:4 Volume:12 Page:04021042
ISSN:1949-1190
Container-title:Journal of Pipeline Systems Engineering and Practice
language:en
Short-container-title:J. Pipeline Syst. Eng. Pract.

Author:

Zhou Jinglin¹^ORCID,Dou Yanling²

Affiliation:

1. Professor, College of Information Science and Technology, Beijing Univ. of Chemical Technology, Beijing 100029, China (corresponding author). ORCID: .

2. Master’s Student, College of Information Science and Technology, Beijing Univ. of Chemical Technology, Beijing 100029, China.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Mechanical Engineering,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29PS.1949-1204.0000579

Reference35 articles.

1. Integrals

2. Real-time in-network distribution system monitoring to improve operational efficiency

3. Effect of rubber washers on leak location for assembled pressurized liquid pipeline based on negative pressure wave method

4. Study on Pipe Burst Detection Frame Based on Water Distribution Model and Monitoring System

5. Cho T. and I. Kwon. 2013. “Fiber Optic Quasi-distributed sensors for water leak detection.” In Proc. Int. Symp. on Photoelectronic Detection and Imaging 2013: Fiber Optic Sensors and Optical Coherence Tomography edited by Y. Rao. Beijing: Society of Photo-Optical Instrumentation Engineers. https://doi.org/10.1117/12.2032149.

Cited by 3 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

1. Multisource Multimodal Feature Fusion for Small Leak Detection in Gas Pipelines;IEEE Sensors Journal;2024-01-15

2. Corrosion leakage risk diagnosis of oil and gas pipelines based on semi-supervised domain generalization model;Reliability Engineering & System Safety;2023-10

3. Leakage detection in natural gas pipeline based on unsupervised learning and stress perception;Process Safety and Environmental Protection;2023-02