Burst Detection in Water Distribution Systems: The Issue of Dataset Collection

[1]  Carla Tricarico,et al.  A stochastic model for daily residential water demand , 2016 .

[2]  A. M. Cassa,et al.  A numerical investigation into the effect of pressure on holes and cracks in water supply pipes , 2010 .

[3]  Shuming Liu,et al.  A review of data-driven approaches for burst detection in water distribution systems , 2017 .

[4]  Zheng Yi Wu,et al.  Leakage Zone Identification in Large-Scale Water Distribution Systems Using Multiclass Support Vector Machines , 2016 .

[5]  Marios M. Polycarpou,et al.  Leakage fault detection in district metered areas of water distribution systems , 2012 .

[6]  Zoran Kapelan,et al.  Automated Detection of Pipe Bursts and Other Events in Water Distribution Systems , 2014 .

[7]  K. Lansey,et al.  Reliability‐Based Optimization Model for Water Distribution Systems , 1987 .

[8]  Andrea Menapace,et al.  Global Gradient Algorithm Extension to Distributed Pressure Driven Pipe Demand Model , 2019, Water Resources Management.

[9]  C. Vörösmarty,et al.  Global water resources: vulnerability from climate change and population growth. , 2000, Science.

[10]  G. Olsson,et al.  Burst detection and location in water distribution networks , 2005 .

[11]  Jiheon Kang,et al.  Novel Leakage Detection by Ensemble CNN-SVM and Graph-Based Localization in Water Distribution Systems , 2018, IEEE Transactions on Industrial Electronics.

[12]  Carla Tricarico,et al.  Probabilistic Models for the Peak Residential Water Demand , 2017 .

[13]  Carlo Giudicianni,et al.  Performance of partitioned water distribution networks under spatial-temporal variability of water demand , 2018, Environ. Model. Softw..

[14]  K. Lansey,et al.  Improving the rapidity of responses to pipe burst in water distribution systems: a comparison of statistical process control methods , 2015 .

[15]  Tiku T. Tanyimboh,et al.  Pressure-Dependent EPANET Extension , 2012, Water Resources Management.

[16]  David Al-Dabass,et al.  Decision support system for water distribution systems based on neural networks and graphs theory for leakage detection , 2012, Expert Syst. Appl..

[18]  J. E. van Zyl,et al.  Predicting the Leakage Exponents of Elastically Deforming Cracks in Pipes , 2014 .

[19]  Armando Carravetta,et al.  New Challenges in Water Systems , 2020, Water.

[20]  Joon Ha Kim,et al.  Smart water grid: the future water management platform , 2015 .

[21]  Thomas Bartz-Beielstein,et al.  imputeTS: Time Series Missing Value Imputation in R , 2017, R J..

[22]  Michele Ann Mutchek,et al.  Moving Towards Sustainable and Resilient Smart Water Grids: Networked Sensing and Control Devices in the Urban Water System , 2014 .

[23]  Cheng Siong Chin,et al.  Review of Current Technologies and Proposed Intelligent Methodologies for Water Distributed Network Leakage Detection , 2018, IEEE Access.

[24]  QianSheng Fang,et al.  Detection of multiple leakage points in water distribution networks based on convolutional neural networks , 2019 .

[25]  Zoran Kapelan,et al.  A review of methods for leakage management in pipe networks , 2010 .

[26]  Stephen R. Mounce,et al.  Burst detection using hydraulic data from water distribution systems with artificial neural networks , 2006 .

[27]  Conceição Amado,et al.  Water distribution systems flow monitoring and anomalous event detection: A practical approach , 2016 .

[28]  Thomas M. Walski,et al.  Economic analysis of water main breaks , 1982 .

[29]  J. E. van Zyl,et al.  Predicting the head-leakage slope of cracks in pipes subject to elastic deformations , 2013 .

[30]  R. Fenner,et al.  Kalman Filtering of Hydraulic Measurements for Burst Detection in Water Distribution Systems , 2011 .

[31]  Helena M. Ramos,et al.  Smart Water Management towards Future Water Sustainable Networks , 2019 .

[32]  Manoj Kumar Tiwari,et al.  A review of leakage detection strategies for pressurised pipeline in steady-state , 2020 .

[33]  Luuk C. Rietveld,et al.  Analysis of historic bursts and burst detection in water supply areas of different size , 2014 .

[34]  Richard Mounce,et al.  Novelty detection for time series data analysis in water distribution systems using support vector machines , 2011 .

[35]  Kevin E Lansey,et al.  Water distribution system burst detection using a nonlinear Kalman filter , 2015 .

[36]  Riku Vahala,et al.  Leakage detection in a real distribution network using a SOM , 2009 .

[37]  Andrea Menapace,et al.  Uniformly Distributed Demand EPANET Extension , 2018, Water Resources Management.

[38]  J. V. Zyl,et al.  Modeling Elastically Deforming Leaks in Water Distribution Pipes , 2014 .

[39]  Andrea Menapace,et al.  Calibration Procedure for Water Distribution Systems: Comparison among Hydraulic Models , 2020 .