روش نوين نشت‌يابي با استفاده از شبکه‌هاي عصبي مصنوعي

Journal Title: آب و فاضلاب - Year 2018, Vol 29, Issue 1

Abstract

New Method for Leakage Detection by Using Artificial Neural Networks Nowadays water loss has been turned into a global concern and on the other hand the demand for water is increasing. This problem has made the demand management and consumption pattern reform necessary. One of the most important methods for managing water consumption is to decrease the water loss. In this study by using neural networks, a new method is presented to specify the location and quantity of leakages in water distribution networks. In this method, by producing the training data and applying it to neural network, the network is able to determine approximate location and quantity of nodal leakage with receiving the nodal pressure. Production of training data is carried out by applying assumed leakage to specific nodes in the network and calculating the new nodal pressures. The results show that by minimum use of hydraulic data taken from pressures, not only this method can determine the location of nodal leakages, but also it can specify the amount of leakage on each node with reasonable accuracy.

Authors and Affiliations

Mahmoud Faghfour Maghrebi, Mahammad Attari

Keywords

Related Articles

تصفيه پساب از طريق سيستم پيل سوختي ميکربي دو محفظه‌اي با استفاده از مخمر ساکارومايسس سرويسيه Wastewater Treatment Using Dual-Chamber Microbial Fuel Cell with Saccharomyces Cerevisiae

Abstract Microbial fuel cell (MFC) is a biochemical treatment system in which the wastewater is treated by biodegradation of organic maters in peresence of bacteria while the electricity can be produced simultanously. T...

بهره‌برداری بهینه از شبکه‌های توزیع آب شهری تحت شرایط کمبود به‌روش تأمین نوبتی

Optimal Intermittent Operation of Water Distribution Networks under Water Shortage Under water shortage conditions, it is necessary to exercise water consumption management practices in water distribution networks (WD...

تخريب زيستي پساب کارخانه روغن زيتون با باکتري رالستونيا يوتروفا در بيوراکتور هواراند با لوله مشبک داخلي Removal of Phenolic Compounds from Olive Oil Mill Wastewater using Ralstonia eutropha in an Airlift Bioreactor with Internal Net Draft Tube

Abstract Aromatic compounds such as total phenolic (TP) compounds commonly present in effluents of food and agricultural industries such as Olive mill wastewater (OMW). The high concentration of TP in OMW is usually ass...

تأثير قانون هدفمندي يارانه‌ها بر مصرف آب شهري مشهد

Impacts of Targeted Subsidy Act on Urban Water Consumption in City of Mashhad An objective of the Targeted Subsidy Act in Iran, which came into effect in 2010 in Iran, is to manage water demand. Despite the importance o...

بررسی اثر اصلاح ساختاری فوم پلی‌یورتان با کربن فعال بر جذب آلاینده‌های نفتی از آب

Effect of Structural Modification of Polyurethane Foam by Activated Carbon on the Adsorption of Oil Contaminants from Water Abstract This study investigates both the capacity of pure polyurethane foam in adsorbing oil...

Download PDF file
  • EP ID EP332967
  • DOI 10.22093/wwj.2017.45360.2095
  • Views 97
  • Downloads 0

How To Cite

Mahmoud Faghfour Maghrebi, Mahammad Attari (2018). روش نوين نشت‌يابي با استفاده از شبکه‌هاي عصبي مصنوعي. آب و فاضلاب, 29(1), 14-26. https://europub.co.uk/articles/-A-332967