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

پالایش آب‌های زیرزمینی آلوده به کادمیم با استفاده از نانوذرات آهن در مقیاس آزمایش‌های پیمانه‌ای و محیط متخلخل

Remediation of Groundwater Contaminated with Cadmium by Nano-Zero Valence Iron (at Batch and Pore Media Scales) Abstract Since a major portion of the food we use is provided by corps irrigated with water that is suppl...

ارزيابي سيستم منابع آب با رويکرد يكپارچه بر اساس چارچوب حسابداري آب در محدوده مطالعاتي مشهد

Water Resources Assessment Using an Integrated Approach Based on Water Accounting, A Case Study of Mashhad Plain Assessment is both a fundamental step in integrated water resources management and one of the most importan...

قابليت سيستم SBAR در حذف متيل ترشياري بوتيل اتر: مشخصات بيوگرانول‌ها

SBAR Capability for Methyl Tertiary Butyl Ether Removal: Characterization of the Bio-granules The growing use of MTBE as a substitute for Tetraethyl lead and its adverse impacts on the environment warrant its removal fro...

Download PDF file
  • EP ID EP332967
  • DOI 10.22093/wwj.2017.45360.2095
  • Views 95
  • 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