Comparative Analysis of Machine Learning and Deep Learning Based Water Pipeline Leak Detection Using EDFL Sensor-Reference-Cited by-同舟云学术

Comparative Analysis of Machine Learning and Deep Learning Based Water Pipeline Leak Detection Using EDFL Sensor

Published:2023-11 Issue:4 Volume:14 Page:
ISSN:1949-1190
Container-title:Journal of Pipeline Systems Engineering and Practice
language:en
Short-container-title:J. Pipeline Syst. Eng. Pract.

Author:

Rajasekaran Uma¹^ORCID,Kothandaraman Mohanaprasad²^ORCID

Affiliation:

1. Research Scholar, School of Electronics Engineering (SENSE), Vellore Institute of Technology (VIT) Univ., Chennai, Tamil Nadu 600127, India. ORCID: .

2. Associate Professor, School of Electronics Engineering (SENSE), Vellore Institute of Technology (VIT) Univ., Chennai, Tamil Nadu 600127, India (corresponding author). ORCID: .

Publisher

American Society of Civil Engineers (ASCE)

Subject

Mechanical Engineering,Civil and Structural Engineering

Link

https://ascelibrary.org/doi/pdf/10.1061/JPSEA2.PSENG-1439

Reference23 articles.

1. An Anomaly Detection Model for Oil and Gas Pipelines Using Machine Learning

2. Precise Water Leak Detection Using Machine Learning and Real-Time Sensor Data

3. Machine learning supported acoustic emission technique for leakage detection in pipelines

4. Study of Dual-Wavelength Mode Competition in an Erbium-Doped Fiber Laser (EDFL) Produced by Acoustic Waves

5. Chen T. and C. Guestrin. 2016. “XGBoost.” In Proc. 22nd ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining 785–794. New York: ACM.

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. A Survey and Study of Signal and Data-Driven Approaches for Pipeline Leak Detection and Localization;Journal of Pipeline Systems Engineering and Practice;2024-05

2. Detecting Fuel Theft with Arduino;2024 Second International Conference on Emerging Trends in Information Technology and Engineering (ICETITE);2024-02-22

3. Particle Filtering SLAM algorithm for urban pipe leakage detection and localization;Wireless Networks;2023-10-17