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Research articles

Leakage detection in a real distribution network using a SOM

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Pages 279-289 | Received 12 May 2008, Accepted 04 Dec 2008, Published online: 12 Aug 2009

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Read on this site (9)

Willian Muniz Do Nascimento & Luiz Gomes-Jr. (2023) Enabling low-cost automatic water leakage detection: a semi-supervised, autoML-based approach. Urban Water Journal 20:10, pages 1471-1481.
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Nishant Sourabh, P.V. Timbadiya & P. L. Patel. (2023) Leak detection in water distribution network using machine learning techniques. ISH Journal of Hydraulic Engineering 0:0, pages 1-19.
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Partha S. Ghosal, Ashwini Javaregowda, Ashok K. Gupta & Dineshwar P. Singh. (2019) A novel framework of multivariate modeling of water distribution network through 33 factorial design and artificial neural network. Journal of Environmental Science and Health, Part A 54:6, pages 551-562.
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Norzaura Abd Rahman, Nur Shazwani Muhammad & Wan Hanna Melini Wan Mohtar. (2018) Evolution of research on water leakage control strategies: where are we now?. Urban Water Journal 15:8, pages 812-826.
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Yipeng Wu & Shuming Liu. (2017) A review of data-driven approaches for burst detection in water distribution systems. Urban Water Journal 14:9, pages 972-983.
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G. Becciu, S. Mambretti & P.S. Martins. (2015) Evolutionary optimization for water losses recognition in water supply networks. European Journal of Environmental and Civil Engineering 19:8, pages 976-999.
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Jin Yang, Yumei Wen, Ping Li & Xingke Wang. (2013) Study on an improved acoustic leak detection method for water distribution systems. Urban Water Journal 10:2, pages 71-84.
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M. Shafiqul Islam, Rehan Sadiq, ManuelJ. Rodriguez, Alex Francisque, Homayoun Najjaran & Mina Hoorfar. (2011) Leakage detection and location in water distribution systems using a fuzzy-based methodology. Urban Water Journal 8:6, pages 351-365.
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R. Puust, Z. Kapelan, D.A. Savic & T. Koppel. (2010) A review of methods for leakage management in pipe networks. Urban Water Journal 7:1, pages 25-45.
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Articles from other publishers (57)

Lauren McMillan, Jawad Fayaz & Liz Varga. (2023) Leakage Detection Framework using Domain-Informed Neural Networks and Support Vector Machines to Augment Self-Healing in Water Distribution Networks. Water Research, pages 120983.
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Lauren McMillan, Jawad Fayaz & Liz Varga. (2023) Flow forecasting for leakage burst prediction in water distribution systems using long short-term memory neural networks and Kalman filtering. Sustainable Cities and Society 99, pages 104934.
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Yuan Tian, Jingliang Gao, Jianxun Chen, Junshen Xie, Qidong Que, Rodger Millar Munthali & Tiantian Zhang. (2023) Optimization of Pressure Management in Water Distribution Systems Based on Pressure-Reducing Valve Control: Evaluation and Case Study. Sustainability 15:14, pages 11086.
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Waid Nimri, Yong Wang, Ziang Zhang, Chengbin Deng & Kristofor Sellstrom. (2023) Data-driven approaches and model-based methods for detecting and locating leaks in water distribution systems: a literature review. Neural Computing and Applications 35:16, pages 11611-11623.
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Alaa Agala, Muhammad Khan & Andrew Starr. (2022) Degradation mechanisms associated with metal pipes and the effective impact of LDMs and LLMs in water transport and distribution. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 237:8, pages 1855-1876.
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Swati Sirsant, Mohamed A. Hamouda & Mostafa F. Shaaban. (2023) Advances in Assessing the Reliability of Water Distribution Networks: A Bibliometric Analysis and Scoping Review. Water 15:5, pages 986.
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Dariusz Kowalski & Paweł Suchorab. (2023) The Impact Assessment of Water Supply DMA Formation on the Monitoring System Sensitivity. Applied Sciences 13:3, pages 1554.
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Ahmed Negm, Xiandong Ma & George Aggidis. (2023) Review of leakage detection in water distribution networks. IOP Conference Series: Earth and Environmental Science 1136:1, pages 012052.
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Luis Romero-Ben, Débora Alves, Joaquim Blesa, Gabriela Cembrano, Vicenç Puig & Eric Duviella. (2023) Leak detection and localization in water distribution networks: Review and perspective. Annual Reviews in Control 55, pages 392-419.
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Rui Fan. (2022) Research and Application Status of Distribution Network Grid. Research and Application Status of Distribution Network Grid.
Xiaoyu MaYalin Li, Weiping Zhang, Xiujuan LiZhiman ShiJunfeng YuJiangxia WangJingqing Liu. (2022) A Real-Time Method to Detect the Leakage Location in Urban Water Distribution Networks. Journal of Water Resources Planning and Management 148:12.
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Hyeong-Suk Kim, Dooyong Choi, Do-Guen Yoo & Kyoung-Pil Kim. (2022) Development of the Methodology for Pipe Burst Detection in Multi-Regional Water Supply Networks Using Sensor Network Maps and Deep Neural Networks. Sustainability 14:22, pages 15104.
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Ariele Zanfei, Andrea Menapace, Bruno M. Brentan, Maurizio Righetti & Manuel Herrera. (2022) Novel approach for burst detection in water distribution systems based on graph neural networks. Sustainable Cities and Society 86, pages 104090.
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Irene Marzola, Stefano Alvisi & Marco Franchini. (2022) A Comparison of Model-Based Methods for Leakage Localization in Water Distribution Systems. Water Resources Management 36:14, pages 5711-5727.
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Xi Wan, Parisa Khorsandi Kuhanestani, Raziyeh FarmaniEdward Keedwell. (2022) Literature Review of Data Analytics for Leak Detection in Water Distribution Networks: A Focus on Pressure and Flow Smart Sensors. Journal of Water Resources Planning and Management 148:10.
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Xiaoqin Li, Xiaomei Wu, Mingzhuang Sun, Shengqiao Yang & Weikun Song. (2022) A Novel Intelligent Leakage Monitoring-Warning System for Sustainable Rural Drinking Water Supply. Sustainability 14:10, pages 6079.
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Xiangqiu Zhang, Zhihong Long, Tian Yao, Hua Zhou, Tingchao Yu & Yongchao Zhou. (2022) Real-time burst detection based on multiple features of pressure data. Water Supply 22:2, pages 1474-1491.
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Qingshuai Sun, Yingjie Zhang, Biliang Lu & Hualiang Liu. (2022) Flow Measurement-Based Self-Adaptive Line Segment Clustering Model for Leakage Detection in Water Distribution Networks. IEEE Transactions on Instrumentation and Measurement 71, pages 1-13.
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Irene MarzolaFilippo Mazzoni, Stefano Alvisi & Marco Franchini. (2022) Leakage Detection and Localization in a Water Distribution Network through Comparison of Observed and Simulated Pressure Data. Journal of Water Resources Planning and Management 148:1.
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Zukang Hu, Beiqing Chen, Wenlong Chen, Debao Tan & Dingtao Shen. (2021) Review of model-based and data-driven approaches for leak detection and location in water distribution systems. Water Supply 21:7, pages 3282-3306.
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Ane Blázquez-García, Angel Conde, Usue Mori & Jose A. Lozano. (2021) Water leak detection using self-supervised time series classification. Information Sciences 574, pages 528-541.
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Susana C. Gomes, Susana Vinga & Rui Henriques. (2021) Spatiotemporal Correlation Feature Spaces to Support Anomaly Detection in Water Distribution Networks. Water 13:18, pages 2551.
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Jeongwook Choi, Gimoon Jeong & Doosun Kang. (2021) Multiple Leak Detection in Water Distribution Networks Following Seismic Damage. Sustainability 13:15, pages 8306.
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Eliyas Girma Mohammed, Ethiopia Bisrat Zeleke & Surafel Lemma Abebe. (2021) Water leakage detection and localization using hydraulic modeling and classification. Journal of Hydroinformatics 23:4, pages 782-794.
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Xuan Hu, Yongming Han, Bin Yu, Zhiqiang Geng & Jinzhen Fan. (2021) Novel leakage detection and water loss management of urban water supply network using multiscale neural networks. Journal of Cleaner Production 278, pages 123611.
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Andrea Menapace, Ariele Zanfei, Manuel Felicetti, Diego Avesani, Maurizio Righetti & Rudy Gargano. (2020) Burst Detection in Water Distribution Systems: The Issue of Dataset Collection. Applied Sciences 10:22, pages 8219.
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Roya A. Cody, Bryan A. Tolson & Jeff Orchard. (2020) Detecting Leaks in Water Distribution Pipes Using a Deep Autoencoder and Hydroacoustic Spectrograms. Journal of Computing in Civil Engineering 34:2.
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Mario Castro-Gama, Claudia Agudelo-Vera & Dimitrios Bouziotas. 2021. ICT for Smart Water Systems: Measurements and Data Science. ICT for Smart Water Systems: Measurements and Data Science 65 110 .
Ildeberto Santos-Ruiz, Francisco-Ronay Lopez-Estrada, Vicenc Puig & Joaquim Blesa. (2019) Estimation of Node Pressures in Water Distribution Networks by Gaussian Process Regression. Estimation of Node Pressures in Water Distribution Networks by Gaussian Process Regression.
F. Boztaş, Ö. Özdemir, F. M. Durmuşçelebi & M. Firat. (2018) Analyzing the effect of the unreported leakages in service connections of water distribution networks on non-revenue water. International Journal of Environmental Science and Technology 16:8, pages 4393-4406.
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Oladipupo Bello, Adnan Abu-Mahfouz, Yskandar Hamam, Philip Page, Kazeem Adedeji & Olivier Piller. (2019) Solving Management Problems in Water Distribution Networks: A Survey of Approaches and Mathematical Models. Water 11:3, pages 562.
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Zhiqiang GengXuan HuYongming HanYanhua Zhong. (2019) A Novel Leakage-Detection Method Based on Sensitivity Matrix of Pipe Flow: Case Study of Water Distribution Systems. Journal of Water Resources Planning and Management 145:2.
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Aya Ayadi, Oussama Ghorbel, M.S. BenSalah & Mohamed Abid. (2019) Kernelized technique for outliers detection to monitoring water pipeline based on WSNs. Computer Networks 150, pages 179-189.
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Bruno Brentan, Gustavo Meirelles, Edevar LuvizottoJr.Jr. & Joaquin Izquierdo. (2018) Hybrid SOM+k-Means clustering to improve planning, operation and management in water distribution systems. Environmental Modelling & Software 106, pages 77-88.
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Marcos Quiñones-Grueiro, Cristina Verde, Alberto Prieto-Moreno & Orestes Llanes-Santiago. (2018) An Unsupervised Approach to Leak Detection and Location in Water Distribution Networks. International Journal of Applied Mathematics and Computer Science 28:2, pages 283-295.
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Mingcen Jiang, Yeyao Wang, Qi Yang, Fansheng Meng, Zhipeng Yao & Peixuan Cheng. (2018) Assessment of surface water quality using a growing hierarchical self-organizing map: a case study of the Songhua River Basin, northeastern China, from 2011 to 2015. Environmental Monitoring and Assessment 190:4.
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Yipeng WuShuming LiuKate SmithXiaoting Wang. (2018) Using Correlation between Data from Multiple Monitoring Sensors to Detect Bursts in Water Distribution Systems. Journal of Water Resources Planning and Management 144:2.
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T. K. Chan, Cheng Siong Chin & Xionghu Zhong. (2018) Review of Current Technologies and Proposed Intelligent Methodologies for Water Distributed Network Leakage Detection. IEEE Access 6, pages 78846-78867.
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P. Darsana & K. Varija. 2018. Water Resources Management. Water Resources Management 141 150 .
Donghwi Jung & Joong Kim. (2017) Robust Meter Network for Water Distribution Pipe Burst Detection. Water 9:11, pages 820.
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Wilmer P. CantosIlan JuranSilvia Tinelli. (2017) Risk Assessment for Early Water Leak Detection. Risk Assessment for Early Water Leak Detection.
Kazeem Adedeji, Yskandar Hamam, Bolanle Abe & Adnan Abu-Mahfouz. (2017) Leakage Detection and Estimation Algorithm for Loss Reduction in Water Piping Networks. Water 9:10, pages 773.
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Qingzhou ZhangZheng Yi WuMing ZhaoJingyao QiYuan HuangHongbin Zhao. (2016) Leakage Zone Identification in Large-Scale Water Distribution Systems Using Multiclass Support Vector Machines. Journal of Water Resources Planning and Management 142:11.
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Yeonsoo Kim, Shin Je Lee, Taekyoon Park, Gibaek Lee, Jung Chul Suh & Jong Min Lee. (2016) Robust leak detection and its localization using interval estimation for water distribution network. Computers & Chemical Engineering 92, pages 1-17.
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Daniele Laucelli, Michele Romano, Dragan Savić & Orazio Giustolisi. (2016) Detecting anomalies in water distribution networks using EPR modelling paradigm. Journal of Hydroinformatics 18:3, pages 409-427.
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Peter van Thienen & Ina Vertommen. (2016) Automated feature recognition in CFPD analyses of DMA or supply area flow data. Journal of Hydroinformatics 18:3, pages 514-530.
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Doo Choi, Seong-Won Kim, Min-Ah Choi & Zong Geem. (2016) Adaptive Kalman Filter Based on Adjustable Sampling Interval in Burst Detection for Water Distribution System. Water 8:4, pages 142.
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Orazio Giustolisi. (2016) Enhanced WDN Hydraulic Modelling and Detection of Burst Leakages. Procedia Engineering 162, pages 3-14.
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Luigi Berardi, Daniele B. Laucelli, Antonietta Simone, Gianfredi Mazzolani & Orazio Giustolisi. (2016) Active Leakage Control with WDNetXL. Procedia Engineering 154, pages 62-70.
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Rui Li, Haidong Huang, Kunlun Xin & Tao Tao. (2015) A review of methods for burst/leakage detection and location in water distribution systems. Water Supply 15:3, pages 429-441.
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Luísa Ribeiro, Joaquim Sousa, Alfeu Marques & Nuno Simões. (2015) Locating Leaks with TrustRank Algorithm Support. Water 7:12, pages 1378-1401.
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Tao TaoHaidong HuangFei LiKunlun Xin. (2014) Burst Detection Using an Artificial Immune Network in Water-Distribution Systems. Journal of Water Resources Planning and Management 140:10.
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Michele RomanoZoran KapelanDragan A. Savić. (2014) Automated Detection of Pipe Bursts and Other Events in Water Distribution Systems. Journal of Water Resources Planning and Management 140:4, pages 457-467.
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S. Qi, J. Gao, W. Wu, Y. Qiao, M. Tu & J. Wang. (2014) Research on an Optimized Leakage Locating Model in Water Distribution System. Procedia Engineering 89, pages 1569-1576.
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Abbas Al-Omari. (2013) A Methodology for the Breakdown of NRW into Real and Administrative Losses. Water Resources Management 27:7, pages 1913-1930.
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Harrison E. MutikangaSaroj K. SharmaKalanithy Vairavamoorthy. (2013) Methods and Tools for Managing Losses in Water Distribution Systems. Journal of Water Resources Planning and Management 139:2, pages 166-174.
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M. Romano, Z. Kapelan & D. A. Savić. (2011) Real-Time Leak Detection in Water Distribution Systems. Real-Time Leak Detection in Water Distribution Systems.

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