Leak Identification Method of Water Supply Pipeline Based on Compressed Sensing and Least Squares Twin Support Vector Machine
Author:
Affiliation:
1. Key Laboratory of Industrial Internet of Things and Networked Control, Ministry of Education, Chongqing University of Posts and Telecommunications, Chongqing, China
2. School of Environment, Tsinghua University, Beijing, China
Funder
National Natural Science Foundation Project of China
Natural Science Foundation Project of Chongqing
Chongqing Special Project of Technology Innovation and Application Development
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Instrumentation
Link
http://xplorestaging.ieee.org/ielx7/7361/10089784/09997489.pdf?arnumber=9997489
Reference29 articles.
1. Leakage Localization for Long Distance Pipeline Based on Compressive Sensing
2. Compressed Sensing Method for Health Monitoring of Pipelines Based on Guided Wave Inspection
3. Compressive-sensing based super-resolution detection for leakage and uniform blockage in water pipelines
4. An improved pipeline leak detection and localization method based on compressed sensing and event-triggered particle filter
5. Sparsity and Compressed Sensing in Radar Imaging
Cited by 6 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. Intelligent circumferential deformation prediction of structures in PCCP-E with a large diameter under internal water overpressure based on prototype experiments and Inception-ResNet-LSTM;Engineering Structures;2024-08
2. Intelligent Cavitation Recognition of a Canned Motor Pump Based on a CEEMDAN-KPCA and PSO-SVM Method;IEEE Sensors Journal;2024-02-15
3. Multisource Multimodal Feature Fusion for Small Leak Detection in Gas Pipelines;IEEE Sensors Journal;2024-01-15
4. Fault Diagnosis for Energy Transportation-Oriented Intelligent Automation System via Mixed Neural Networks;IEEE Transactions on Automation Science and Engineering;2024
5. An intelligent model to predict the mechanical properties of defected concrete drainage pipes;International Journal of Mechanical Sciences;2023-12
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