Leak detection and size identification in fluid pipelines using a novel vulnerability index and 1-D convolutional neural network-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Leak detection and size identification in fluid pipelines using a novel vulnerability index and 1-D convolutional neural network

Published:2023-01-17 Issue:1 Volume:17 Page:
ISSN:1994-2060
Container-title:Engineering Applications of Computational Fluid Mechanics
language:en
Short-container-title:Engineering Applications of Computational Fluid Mechanics

Author:

Ahmad Zahoor¹,Nguyen Tuan-Khai²,Kim Jong-Myon¹²

Affiliation:

1. Department of Electrical, Electronic and Computer Engineering, University of Ulsan, Ulsan, South Korea

2. PD Technology Co. Ltd., Ulsan,South Korea

Funder

Korea Institute of Energy Technology Evaluation and Planning

Ministry of Trade, Industry & Energy

Republic of Korea

Ministry of Trade, Industry and Energy

Korea Evaluation Institute of Industrial Technology

National Research Foundation of Korea

Publisher

Informa UK Limited

Subject

Modeling and Simulation,General Computer Science

Link

https://www.tandfonline.com/doi/pdf/10.1080/19942060.2023.2165159

Reference42 articles.

1. A Method for Pipeline Leak Detection Based on Acoustic Imaging and Deep Learning

2. Diagnostic Feature Extraction and Filtering Criterion for Fatigue Crack Growth Using High Frequency Parametrical Analysis

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

4. Transient wave-based methods for anomaly detection in fluid pipes: A review

5. An Improved Fault Diagnosis Using 1D-Convolutional Neural Network Model

Cited by 25 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. Time-Transformer for acoustic leak detection in water distribution network;Journal of Civil Structural Health Monitoring;2024-08-27

2. Towards a more realistic approach to the problem of detecting fuel leaks in filling stations: Mixed time windows;Journal of Cleaner Production;2024-08

3. Arctic tern-optimized weighted feature regression system for predicting bridge scour depth;Engineering Applications of Computational Fluid Mechanics;2024-07-08

4. Research on acoustic localization method for multiple leakage sources of water-cooling wall in furnace;Measurement Science and Technology;2024-06-27

5. Pipeline Leak Detection: A Comprehensive Deep Learning Model Using CWT Image Analysis and an Optimized DBN-GA-LSSVM Framework;Sensors;2024-06-20

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3