Optimal sensor placement for pipe burst detection in water distribution systems using cost–benefit analysis

[1]  M. J. Abedini,et al.  Optimal selection of number and location of pressure sensors in water distribution systems using geostatistical tools coupled with genetic algorithm , 2019, Journal of Hydroinformatics.

[2]  Daniela Fuchs-Hanusch,et al.  Efficient Sensor Placement for Leak Localization Considering Uncertainties , 2016, Water Resources Management.

[3]  Daniele B. Laucelli,et al.  A proposal of optimal sampling design using a modularity strategy , 2016 .

[4]  Zhihong Qian,et al.  Optimal sensor placement for leak localization in water distribution networks based on a novel semi-supervised strategy , 2019, Journal of Process Control.

[5]  Ronald L. Wasserstein,et al.  Monte Carlo: Concepts, Algorithms, and Applications , 1997 .

[6]  Vicenç Puig,et al.  Optimal Sensor Placement for Leak Location in Water Distribution Networks Using Genetic Algorithms , 2013, 2013 Conference on Control and Fault-Tolerant Systems (SysTol).

[7]  Daniele B. Laucelli,et al.  Detecting anomalies in water distribution networks using EPR modelling paradigm , 2016 .

[8]  Zoran Kapelan,et al.  OPTIMAL SENSOR PLACEMENT FOR THE EFFICIENT CONTAMINANT DETECTION IN WATER DISTRIBUTION SYSTEMS , 2009 .

[9]  Avi Ostfeld,et al.  Analyzing multi-variate water quality signals for water quality monitoring station placement in water distribution systems , 2018 .

[10]  Joong Hoon Kim,et al.  Using Mechanical Reliability in Multiobjective Optimal Meter Placement for Pipe Burst Detection , 2018, Journal of Water Resources Planning and Management.

[11]  Guangtao Fu,et al.  Global resilience analysis of water distribution systems. , 2016, Water research.

[12]  Angus R. Simpson,et al.  Competent Genetic-Evolutionary Optimization of Water Distribution Systems , 2001 .

[13]  Silvia Meniconi,et al.  Wavelets for the Analysis of Transient Pressure Signals for Leak Detection , 2007 .

[14]  Zhenheng Tang,et al.  Deep learning identifies accurate burst locations in water distribution networks. , 2019, Water research.

[15]  Avi Ostfeld,et al.  The Battle of the Water Sensor Networks (BWSN): A Design Challenge for Engineers and Algorithms , 2008 .

[16]  Daniele B. Laucelli,et al.  Study on relationships between climate-related covariates and pipe bursts using evolutionary-based modelling , 2014 .

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

[18]  Zoran Kapelan,et al.  Pipe burst diagnostics using evidence theory , 2011 .

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

[20]  Ashutosh Sutra Dhar,et al.  Interpretation of Acoustic Field Data for Leak Detection in Ductile Iron and Copper Water-Distribution Pipes , 2017 .

[21]  G. Faup,et al.  Biological Nitrification in an Up Flow Fixed Bed Reactor (UFBR) , 1982 .

[22]  Joby Boxall,et al.  Field testing of an optimal sensor placement methodology for event detection in an urban water distribution network , 2010 .

[23]  Sylvia Richardson,et al.  Markov Chain Monte Carlo in Practice , 1997 .

[24]  Joseba Quevedo,et al.  Sensor placement for leak detection and location in water distribution networks , 2014 .

[25]  Huan-Feng Duan,et al.  Multiple-fault detection in water pipelines using transient-based time-frequency analysis , 2016 .

[26]  Thomas M. Walski,et al.  Economic Analysis of Pressure Control for Leakage and Pipe Burst Reduction , 2017 .

[27]  Luuk C. Rietveld,et al.  Heuristic burst detection method using flow and pressure measurements , 2014 .

[28]  Kalyanmoy Deb,et al.  RapidAccurate Optimization of Difficult Problems Using Fast Messy Genetic Algorithms , 1993, ICGA.

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

[30]  Werner de Schaetzen,et al.  Optimal sampling design for model calibration using shortest path, genetic and entropy algorithms , 2000 .

[31]  Andrea Salinas.  Integrated water resources management under a new global scenario , 2015 .

[33]  Kevin E Lansey,et al.  Optimal meter placement for pipe burst detection in water distribution systems , 2016 .

[34]  Kourosh Behzadian,et al.  Stochastic sampling design using a multi-objective genetic algorithm and adaptive neural networks , 2009, Environ. Model. Softw..

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

[36]  Ehsan Raei,et al.  Placing an ensemble of pressure sensors for leak detection in water distribution networks under measurement uncertainty , 2018, Journal of Hydroinformatics.

[37]  Kalyanmoy Deb,et al.  Messy Genetic Algorithms: Motivation, Analysis, and First Results , 1989, Complex Syst..

[38]  Fatiha Nejjari,et al.  Robust sensor placement for leak location: analysis and design , 2016 .