Robust leak detection and its localization using interval estimation for water distribution network

Kim, Yeonsoo; Lee, Shin Je; Park, Taekyoon; Lee, Gibaek; Suh, Jung Chul

doi:10.1016/j.compchemeng.2016.04.027

Cited by 41 publications

(13 citation statements)

References 18 publications

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“…REMARK 1. It is found that (A (1) , C (1) ), (A (2) , C (2) ), and (A (3) , C (3) ) defined in Eqs. 26 and 27 are undetectable.…”

Section: Estimation Resultsmentioning

confidence: 99%

“…This method does not require any fault location algorithm unlike the previous works. 2,3 We set up edges between nodes are all less than 10 m according to the node division strategy so that the location error range is within 10 m. Find j such that min j P Ns l51 jjx l ðk l 5jÞ2y m;l jj 2 ; end k l j; Implement estimator Eq. 28 and findx ðkÞ ; k51; Á Á Á ; N; Give fault location; else Give no fault sign; end Algorithm 1.…”

Section: Fault Detection and Location Using State Estimationmentioning

confidence: 99%

“…There are numerous conventional methods for detecting leaks, including transient‐based techniques using a negative pressure wave (NPW), inverse‐transient analysis (ITA), and frequency domain techniques. Among them, the NPW‐based method is one of the most popular approaches …”

Section: Introductionmentioning

confidence: 99%

“…Among them, the NPW-based method is one of the most popular approaches. [1][2][3] In recent years, model-based estimation techniques for leak detection have been intensively studied, and most of them have developed detection algorithms based on Kalman filter. 4 Emara-Shabaik et al 5 proposed a nonlinear multiple model state estimation scheme using a modified extended Kalman filter to detect and diagnose leaks.…”

Section: Introductionmentioning

confidence: 99%

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Consensus algorithm‐based approach to fundamental modeling of water pipe networks

Lee

et al. 2017

AIChE Journal

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Modeling the flow dynamics of leaks in water pipe networks is an extremely difficult problem due to the complex entangled network structure and hydraulic phenomenon. A mathematical model for leak dynamics in water pipe networks based on consensus algorithm and water hammer theory is proposed. The resulting model is a simple and linearly interconnected system even though the dynamics of water pipe networks has considerable complexity. The model is then validated using experimental data obtained from real pipe network. A comparative study demonstrates the proposed model can describe the real system with high qualitative and quantitative accuracy and it can be used to develop model‐based leak detection and location algorithm based on state estimation. To show applicability of the proposed model, we apply cooperative H∞ estimation to the developed model. The results demonstrate the consensus‐based pipe model can be potentially used for leak detection and location with state estimation. © 2017 American Institute of Chemical Engineers AIChE J, 63: 3860–3870, 2017

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“…REMARK 1. It is found that (A (1) , C (1) ), (A (2) , C (2) ), and (A (3) , C (3) ) defined in Eqs. 26 and 27 are undetectable.…”

Section: Estimation Resultsmentioning

confidence: 99%

Section: Fault Detection and Location Using State Estimationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Consensus algorithm‐based approach to fundamental modeling of water pipe networks

Lee

et al. 2017

AIChE Journal

Self Cite

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“…In the study, MPU6050 vibration sensor was used instead of the acoustic sensor because acoustic leak detection is only suitable for a metal pipeline. Their research motivation is to explore the effectiveness of using a vibration sensor since most of the existing research and study is using pressure sensor [13][14][15][16][17][18][19][20][21]. The water pipeline testbed is using ABS pipe approximately 10 meters length and a 1-inch diameter.…”

Section: External Systems 211 Sensor Basedmentioning

confidence: 99%

Localization Techniques for Water Pipeline Leakages: A Review

Lah

Dziyauddin

Yusoff

2018

IJIE

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IntroductionAn efficient water distribution system relies on a good water pipeline system. Water pipeline leakages are one of a few challenges to the water utility companies all over the world in providing the service. Several factors have been identified contributed to the water pipeline leakages such as ageing infrastructure, severe environmental conditions and third-party damages [1]. A recent report published by World Bank in 2016 indicates there is 45 billion cubic meters of water loss in that year. From a financial point of view this huge amount of losses is equivalent to a value of USD 3 billion whilst from a social point of view it can supply water to 90 million people in a year [2]. During pipeline leakage, a portion of the water delivered within the water distribution network wasted and this affects the Non-Revenue Water (NRW) efficiency to the water utility company. NRW is the lowest hanging fruits to improve water utility efficiency [3]. Minimizing the NRW is one of the challenges encountered by the water utility company because the uncontrolled NRW can cause vicious cycle [4]. Researchers in [5] studied the detail of pipeline leakages and emphasized that there are two main factors that affecting to the NRW efficiency; apparent losses and real losses. The apparent losses were due to meter defect, illegal tapping, water storage tank maintenance, fire brigade use and others. The real losses were due to a pipe burst, pipe leakages and water overflow due to faulty valves. A statistic from [4] in 2008 exhibits that real losses accounted for 61.5% of total water loss recorded. Hence there is an urgency to detect the pipeline leakage and localize it in the shortest time with leak location accuracy is the main benchmark.Pipeline leakage incidents sometimes go unnoticed until the symptoms are visible such as low water pressure or water supply interruptions. This happens when the water pipeline is located underground or far away from the community area. Even though the leakages is visible and noticed, it still takes time to the relevant authorities to locate the leak location. This issue has gained an interest in a lot of researchers and in the past few decades, numerous studies and research have been conducted to solve or at least minimize this issue. The research area in the field of localization can be partitioned into two categories; the external and internal system. The external system refers to the hardware-based such Abstract: Pipeline leakages in water distribution network (WDN) is one of the prominent issues that has gain an interest among researchers in the past few years. Time and accuracy play an important role in leak localization as it has huge impact to the human population and economic point of view. The complexity of WDN has prompt numerous techniques and methods been introduced focusing on the accuracy and efficacy. In general, localization techniques can be divided into two broad categories; external and internal systems. This paper reviews some of the techniques that has been explored and pr...

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Fault Detection Method Based on the Monitoring State Synchronization for Industrial Process System

Ren

Chai

et al. 2018

Proceedings of 2018 Chinese Intelligent Systems Conference

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Robust leak detection and its localization using interval estimation for water distribution network

Cited by 41 publications

References 18 publications

Consensus algorithm‐based approach to fundamental modeling of water pipe networks

Consensus algorithm‐based approach to fundamental modeling of water pipe networks

Localization Techniques for Water Pipeline Leakages: A Review

Fault Detection Method Based on the Monitoring State Synchronization for Industrial Process System

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