Robust Leakage Detection and Interval Estimation of Location in Water Distribution Network

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

doi:10.1016/j.ifacol.2015.09.142

Cited by 13 publications

(8 citation statements)

References 9 publications

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“…For this reason, many new methods have implemented advanced computational algorithms to analyze the recorded parameters. More details about the methods for diagnosing the operating conditions of water supply systems, based on works from the last 20 years presented by specifically selected authors [10][11][12][13][14][15][16][17][18][19][20][21][22][23][24][25][26][27], are illustrated in Figure 4. In spite of the various divisions of methods for detecting the operating conditions of water supply networks found in the literature, the most common classification distinguishes acoustic methods from the others.…”

Section: Resultsmentioning

confidence: 99%

Development of Methods for Diagnosing the Operating Conditions of Water Supply Networks over the Last Two Decades

Stańczyk

Burszta‐Adamiak

2022

Water

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The need for water supply companies to exercise control over the operating conditions of water supply networks has contributed to the development of a number of methods for their diagnosis. The diagnostics of technical infrastructure is a constantly developing field, and therefore, over the years, we have observed the development of various methods of diagnosing network operating conditions and their classification. The article presents, in a synthetic way, the division and review of the previously used methods of diagnosing the operating conditions of water supply networks. The authors also classified and assessed the usefulness of the methods of diagnosis in specific operating conditions. The review carried out by the authors shows that there is a need for research on the detection of operating conditions of water supply networks under the operating conditions of real systems. The results of our deep analysis allow for the understanding of the most important areas of research, as well as the existing worldwide trends in the development of methods for leak diagnosis and detection in water distribution networks. This review is a compendium of knowledge on the detection and diagnosis of water supply networks.

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Section: Resultsmentioning

confidence: 99%

Development of Methods for Diagnosing the Operating Conditions of Water Supply Networks over the Last Two Decades

Stańczyk

Burszta‐Adamiak

2022

Water

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“…Hasilnya sistem dapat mendeteksi telah terjadi kebocoran dengan kesalahan terbesar 1,161 % dan kesalahan terkecil sebesar 0,355 %. Pada [6] menjelaskan Robust leakage detection and interval estimation of location in water distribution network, hasilnya pendeteksian kebocoran air menggunakan metode prorposed lebih akurat dan praktis untuk diterapkan serta menunjukkan presisi yang lebih tinggi. Pada [7] menjelaskan perancangan meter air menggunakan sensor aliran air SEN-HZ21WA.…”

Section: Pendahuluanunclassified

Rancang Bangun Sistem Proteksi Kebocoran Pada Prototipe Mesin Reverse Osmosis Berbasis Mikrokontroler

Sirait

Aulia

2021

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Penggunaan mesin reverse osmosis untuk memenuhi kebutuhan air layak minum dalam industri food and beverages adalah satu kesatuan yang tidak dapat dipisahkan. Salah satu permasalahan yang sering terjadi adalah kebocoran pada mesin tersebut. Pada penelitian ini dirancang sebuah alat rancang bangun sistem proteksi kebocoran prototipe mesin reverse osmosis berbasis mikrokontroler untuk mengurangi kerugian yang diakibatkan dari kebocoran. Proteksi kebocoran pada sistem menggunakan solenoid valve yang berfungsi mengatur buka atau tutup valve air. Sistem mendapat masukan dari sensor tekanan dan debit, sensor tersebut digunakan untuk menentukan apakah telah terjadi kebocoran. Keluaran yang dihasilkan berupa sinyal yang mengatur buka atau tutup solenoid valve dan mengirim pesan ke whatsapp bahwa telah terjadi kebocoran. Berdasarkan pengujian yang telah dilakukan sistem ini dapat memproteksi kebocoran dengan aktifnya solenoid valve (tutup) saat sistem mendeteksi kebocoran. Selisih debit air masuk dengan debit air keluar lebih dari 1 ml/s dan selisih tekanan air masuk dengan tekanan air keluar lebih dari 10 Kpa, maka sistem akan menganggap telah terjadi kebocoran. Semakin besar lubang kebocoran maka selisih tekanan air dan selisih debit air semakin besar. Sistem dapat mengirim pesan kebocoran ke whatsapp menggunakan komunikasi serial antara arduino mega2560 dengan pycharm IDE.

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“…This approach is extended in [33] to exploit measurements from AMRs using Big Data and Cloud computing technologies. In [34], a leak detection and localization technique is considered in this article. The detection technique uses the inlet flow measurements at a high sampling rate and a Kalman Filter (KF) is applied to remove noise.…”

Section: Related Workmentioning

confidence: 99%

Online statistical hypothesis test for leak detection in water distribution networks

Fezai

Mansouri

Abodayeh

et al. 2021

IFS

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This paper aims at improving the operation of the water distribution networks (WDN) by developing a leak monitoring framework. To do that, an online statistical hypothesis test based on leak detection is proposed. The developed technique, the so-called exponentially weighted online reduced kernel generalized likelihood ratio test (EW-ORKGLRT), is addressed so that the modeling phase is performed using the reduced kernel principal component analysis (KPCA) model, which is capable of dealing with the higher computational cost. Then the computed model is fed to EW-ORKGLRT chart for leak detection purposes. The proposed approach extends the ORKGLRT method to the one that uses exponential weights for the residuals in the moving window. It might be able to further enhance leak detection performance by detecting small and moderate leaks. The developed method’s main advantages are first dealing with the higher required computational time for detecting leaks and then updating the KPCA model according to the dynamic change of the process. The developed method’s performance is evaluated and compared to the conventional techniques using simulated WDN data. The selected performance criteria are the excellent detection rate, false alarm rate, and CPU time.

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Robust Leakage Detection and Interval Estimation of Location in Water Distribution Network

Cited by 13 publications

References 9 publications

Development of Methods for Diagnosing the Operating Conditions of Water Supply Networks over the Last Two Decades

Development of Methods for Diagnosing the Operating Conditions of Water Supply Networks over the Last Two Decades

Rancang Bangun Sistem Proteksi Kebocoran Pada Prototipe Mesin Reverse Osmosis Berbasis Mikrokontroler

Online statistical hypothesis test for leak detection in water distribution networks

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