Random Bagging Classifier and Shuffled Frog Leaping Based Optimal Sensor Placement for Leakage Detection in WDS
Author:
Publisher
Springer Science and Business Media LLC
Subject
Water Science and Technology,Civil and Structural Engineering
Link
http://link.springer.com/content/pdf/10.1007/s11269-019-02296-7.pdf
Reference22 articles.
1. Adedeji KB, Hamam Y, Mahfouz AMA (2017) Towards achieving a reliable leakage detection and localization algorithm for application in water piping networks: an overview. IEEE Access 5:20272–20285. https://doi.org/10.1109/ACCESS.2017.2752802
2. AL-Kadi T, AL-Tuwaijri Z, AL-Omran A (2013) Wireless sensor networks for leakage detection in underground pipelines: a survey paper. Procedia Computer Science 21:491–498. https://doi.org/10.1016/j.procs.2013.09.067
3. Apperl B, Pressl A, Schulz K (2017) Feasibility of locating leakages in sewage pressure pipes using the distributed temperature sensing technology. Water Air Soil Pollut 228(2):82. https://doi.org/10.1007/s11270-017-3250-7
4. Cataldo A, Cannazza G, De Benedetto E, Giaquinto N (2012) A new method for detecting leaks in underground water pipelines. IEEE Sensors J 12(6):1660–1667. https://doi.org/10.1109/jsen.2011.2176484
5. Cheng L, Kun D, Jia-peng T, Wei-xin D (2017) Optimal placement of pressure sensors in water distribution system based on clustering analysis of pressure sensitive matrix. Procedia Eng 186:405–411. https://doi.org/10.1016/j.proeng.2017.03.242
Cited by 17 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. Artificial Intelligence Technologies Revolutionizing Wastewater Treatment: Current Trends and Future Prospective;Water;2024-01-17
2. A fault-injection-based approach to leak localization in water distribution networks using an ensemble model of Bayesian classifiers;Journal of Process Control;2023-12
3. Deep learning-based burst location with domain adaptation across different sensors in water distribution networks;Computers & Chemical Engineering;2023-08
4. Stochastic model-based leakage prediction in water mains considering pipe condition uncertainties;Tunnelling and Underground Space Technology;2023-07
5. NSGA-II parameterization for the optimal pressure sensor location in water distribution networks;Urban Water Journal;2023-05-05
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