TY - JOUR AU - Rajabi, Mohammad AU - Danesh-Pajooh, Sadegh AU - Hajibabaei, Mohsen AU - Oberascher, Martin AU - Tabesh, Massoud AU - Sitzenfrei, Robert TI - Pressure sensor placement for water distribution network calibration based on graph-theoretic approaches JF - JOURNAL OF HYDROINFORMATICS J2 - J HYDROINFORM VL - 28 PY - 2026 IS - 3 SP - 311 EP - 325 PG - 15 SN - 1464-7141 DO - 10.2166/hydro.2026.176 UR - https://m2.mtmt.hu/api/publication/37194814 ID - 37194814 LA - English DB - MTMT ER - TY - JOUR AU - Bandreddi, Raghavarshith AU - Farmani, Raziyeh AU - Melville-Shreeve, Peter AU - Latifi, Milad TI - Leveraging Graph Theory Metrics for Effective Pressure Sensor Placement in Water Distribution Networks: A Minimum Steiner Tree Approach JF - JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT J2 - J WATER RES PLAN MAN VL - 151 PY - 2025 IS - 9 PG - 13 SN - 0733-9496 DO - 10.1061/JWRMD5.WRENG-6973 UR - https://m2.mtmt.hu/api/publication/36617519 ID - 36617519 N1 - Összes idézések száma a WoS-ban: 0 LA - English DB - MTMT ER - TY - JOUR AU - Maggang, Amin A. AU - Tay, David B. AU - Gong, Jinzhe AU - Josey, Brendan M. TI - MPHR: A Robust Algorithm for Estimating Nodal Head in Water Networks JF - IEEE SIGNAL PROCESSING LETTERS J2 - IEEE SIGNAL PROC LET VL - 32 PY - 2025 SP - 856 EP - 860 PG - 5 SN - 1070-9908 DO - 10.1109/LSP.2025.3539012 UR - https://m2.mtmt.hu/api/publication/35900848 ID - 35900848 N1 - Összes idézések száma a WoS-ban: 0 LA - English DB - MTMT ER - TY - JOUR AU - Moasheri, Reza AU - Ghazizadeh, Mohammadreza Jalili TI - Localization and Quantification of Blockages in Water Distribution Networks Using a Mathematical Model JF - JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT J2 - J WATER RES PLAN MAN VL - 150 PY - 2024 IS - 5 PG - 13 SN - 0733-9496 DO - 10.1061/JWRMD5.WRENG-6324 UR - https://m2.mtmt.hu/api/publication/34906645 ID - 34906645 N1 - Funding Agency and Grant Number: Center for High Performance Computing at Shahid Beheshti University of Iran Funding text: The technical support and resources from the Center for High Performance Computing at Shahid Beheshti University of Iran are gratefully acknowledged. The authors express their gratitude to the anonymous reviewers for their meticulous and constructive feedback, which has significantly enhanced the quality of the manuscript. AB - Blockage, which arises from accumulated materials like sand, stones, sediment, uncontrolled growth of tree roots within pipes, and the inadvertent partial closure of in-line valves, poses a pervasive challenge in the operational sphere of water distribution networks (WDNs). This results in significant head loss in the pipes, leading to disruptions in the water supply. Identifying such blockages conventionally requires specialized human resources and is often encumbered by cost and time challenges. This paper introduces a method for precisely determining the location and magnitude of blockages within WDNs. This methodology is firmly grounded in a calibration-optimization framework, harnessing a specially crafted hybrid optimization algorithm known as PSOHS, which combines the strengths of particle swarm optimization (PSO) and harmony search (HS) algorithms. Detailed comparisons are drawn between simulated pressure data (derived from the hydraulic network model) and corresponding field data at multiple points to minimize disparities, thereby facilitating the precise identification of potential blockages in a WDN. The proposed method undergoes rigorous evaluation across two benchmark networks (modified Poulakis and Hanoi) under diverse scenarios as well as on an actual WDN. Results from over 60,000 simulated blockage scenarios underscore the method's remarkable proficiency, achieving blockage localization accuracy of 99.9% and magnitude estimation with a maximum absolute error (MAE) of less than 3%. Particularly noteworthy is the superior performance of the PSOHS algorithm as proposed, surpassing the PSO algorithm by enhancing blockage localization accuracy by a minimum of 10.5% and reducing MAE by 3%. Further, adopting the proposed algorithm over the HS algorithm yields improvements of 27.5% and 3.5%, respectively. Applying the proposed method in an actual network effectively pinpointed its blockage. Consequently, this algorithm presents a valuable tool for WDN operators, augmenting their capacity for effective network management. LA - English DB - MTMT ER - TY - JOUR AU - Shao, Yu AU - Li, Kun AU - Zhang, Tuqiao AU - Ao, Weilin AU - Chu, Shipeng TI - Pressure Sampling Design for Estimating Nodal Water Demand in Water Distribution Systems JF - WATER RESOURCES MANAGEMENT J2 - WATER RESOUR MANAG VL - 38 PY - 2024 SP - 1511 EP - 1527 PG - 17 SN - 0920-4741 DO - 10.1007/s11269-024-03736-9 UR - https://m2.mtmt.hu/api/publication/34591664 ID - 34591664 N1 - Funding Agency and Grant Number: National Natural Science Foundation of China Funding text: No Statement Available AB - The water distribution system (WDS) hydraulic model is extensively used for design and management of WDS. The nodal water demand is the crucial parameter of the model that requires accurate estimating by the pressure measurements. Proper pressure sampling design is essential for estimating nodal water demand and improving model accuracy. Existing research has emphasized the need to enhance the observability of monitoring systems and mitigate the adverse effects of monitoring noise. However, methods that simultaneously consider both of these factors in sampling design have not been adequately studied. In this study, a novel two-objective sampling design method is developed to improve the system observability and mitigate the adverse effects of monitoring noise. The approach is applied to a realistic network and results demonstrate that the developed approach can effectively improve the observability and robustness of the system especially when considerable measurement noise is considered. LA - English DB - MTMT ER - TY - JOUR AU - Ferreira, Bruno AU - Antunes, Andre AU - Carrico, Nelson AU - Covas, Didia TI - NSGA-II parameterization for the optimal pressure sensor location in water distribution networks JF - URBAN WATER JOURNAL J2 - URBAN WATER J VL - 20 PY - 2023 IS - 6 SP - 738 EP - 750 PG - 13 SN - 1573-062X DO - 10.1080/1573062X.2023.2209553 UR - https://m2.mtmt.hu/api/publication/33917100 ID - 33917100 N1 - INCITE, ESTBarreiro, Instituto Politécnico de Setúbal, Setúbal, Portugal Sustain.RD, ESTSetúbal, Instituto Politécnico de Setúbal, Setúbal, Portugal CERIS, Instituto Superior Técnico, Universidade de Lisboa, Lisbon, Portugal Correspondence Address: Ferreira, B.; INCITE, Portugal; email: bruno.s.ferreira@estbarreiro.ips.pt AB - The optimal location of pressure sensors is typicallysolved using heuristic algorithms. Non-dominated Sorting Genetic Algorithm II (NSGA-II) is one of the most used algorithms in the water industry, requiring a preliminary parameter tuning process. The lack of guidelines on how to tune model parameters generally limits the use of these algorithms by researchers or practitioners and, as such, fails to be used in real-life problems. The current paper explores different NSGA-II parameterizations for the optimal location of pressure sensors by using a multi-objective optimization methodology applied to a real distribution network. Results show that (i) both the uniform and simulated binary crossover operators (depending on the internal parameters) produce the best results, being the former recommended since it does not require further parameter tuning; (ii) polynomial mutation with lower probability value should be chosen; and (iii) the distribution indices of polynomial mutation have a minor effect on NSGA-II performance. LA - English DB - MTMT ER - TY - JOUR AU - Huang, Y.-C. AU - Li, S.C. AU - Pan, J.-S. AU - Huan, Y.-C. TI - Pressure Sensors Deployment for Water Distribution Network Using Flow-Tracking Analysis JF - JOURNAL OF NETWORK INTELLIGENCE J2 - JOURNAL OF NETWORK INTELLIGENCE VL - 8 PY - 2023 IS - 4 SP - 1517 EP - 1526 PG - 10 SN - 2414-8105 UR - https://m2.mtmt.hu/api/publication/34692623 ID - 34692623 N1 - Department of Electrical Engineering, National University of Tainan, Taiwan Department of Information Management, Chaoyang University of Technology, Taiwan Disaster Prevention and Water Environment Research Center, National Yang Ming Chiao Tung University, Taiwan Export Date: 28 February 2024 Correspondence Address: Pan, J.-S.; Department of Information Management, Taiwan; email: jengshyangpan@gmail.com LA - English DB - MTMT ER - TY - JOUR AU - Ferreira, Bruno AU - Antunes, Andre AU - Carrico, Nelson TI - Multi-objective optimization of pressure sensor location for burst detection and network calibration JF - COMPUTERS & CHEMICAL ENGINEERING J2 - COMPUT CHEM ENG VL - 162 PY - 2022 PG - 10 SN - 0098-1354 DO - 10.1016/j.compchemeng.2022.107826 UR - https://m2.mtmt.hu/api/publication/33381165 ID - 33381165 N1 - INCITE, Barreiro School of Technology, Polytechnic Institute of Setúbal, Setúbal, Portugal Sustain.RD, Setúbal School of Technology, Polytechnic Institute of Setúbal, Setúbal, Portugal CERIS, Instituto Superior Técnico, Universidade de Lisboa, Lisbon, Portugal Cited By :6 Export Date: 28 February 2024 CODEN: CCEND Correspondence Address: Ferreira, B.; INCITE, Portugal; email: bruno.s.ferreira@estbarreiro.ips.pt AB - This paper proposes a methodology to determine the optimal location of pressure sensors for the simultaneous calibration of the hydraulic network model and the detection of pipe bursts. The methodology considers a search space reduction process and aims at maximizing nodal pressure sensitivities to both pipe roughness coefficients and pipe burst sizes. A multi-objective optimization problem is formulated for a given number of sensors and multiple optimal configurations of pressure sensors are obtained. Three different optimal configurations are selected and compared: one solution that individually maximizes each objective function (two solutions) and one trade-off solution. The methodology is applied to a real water distribution network with hourly consumption data. Results demonstrate that (i) the optimal location of pressure sensors hardly changes with the perturbation values used to numerically compute the sensitivities and (ii) minor differences can be found in the performance of pipe roughness calibration and pipe burst location by using either a solution that individually maximizes each objective function or the trade-off solution considering the high number of pressure sensors (26) and the oversized pipe diameters to comply with firefighting conditions, being pressure less sensitive to friction and flow rate changes.(c) 2022 Elsevier Ltd. All rights reserved. LA - English DB - MTMT ER - TY - JOUR AU - Wéber, Richárd AU - Hős, Csaba János TI - Efficient Technique for Pipe Roughness Calibration and Sensor Placement for Water Distribution Systems JF - JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT J2 - J WATER RES PLAN MAN VL - 146 PY - 2020 IS - 1 PG - 12 SN - 0733-9496 DO - 10.1061/(ASCE)WR.1943-5452.0001150 UR - https://m2.mtmt.hu/api/publication/30926166 ID - 30926166 N1 - Kapcsolódó rekord: Közlemény:32398110 LA - English DB - MTMT ER -