A risk-based soft sensor for failure rate monitoring in water distribution network via adaptive neuro-fuzzy interference systems

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24220%2F23%3A00011233" target="_blank" >RIV/46747885:24220/23:00011233 - isvavai.cz</a>

Alternative codes found

RIV/46747885:24620/23:00011233

Result on the web

<a href="https://www.nature.com/articles/s41598-023-38620-w#Ack1" target="_blank" >https://www.nature.com/articles/s41598-023-38620-w#Ack1</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1038/s41598-023-38620-w" target="_blank" >10.1038/s41598-023-38620-w</a>

Result language

angličtina

Original language name

A risk-based soft sensor for failure rate monitoring in water distribution network via adaptive neuro-fuzzy interference systems

Original language description

Water Distribution Networks (WDNs) are considered one of the most important water infrastructures, and their study is of great importance. In the meantime, it seems necessary to investigate the factors involved in the failure of the urban water distribution network to optimally manage water resources and the environment. This study investigated the impact of infuential factors on the failure rate of the water distribution network in Birjand, Iran. The outcomes can be considered a case study, with the possibility of extending to any similar city worldwide. The soft sensor based on the Adaptive Neuro-Fuzzy Inference System (ANFIS) was implemented to predict the failure rate based on efective features. Finally, the WDN was assessed using the Failure Modes and Efects Analysis (FMEA) technique. The results showed that pipe diameter, pipe material, and water pressure are the most infuential factors. Besides, polyethylene pipes have failure rates four times higher than asbestoscement pipes. Moreover, the failure rate is directly proportional to water pressure but inversely related to the pipe diameter. Finally, the FMEA analysis based on the knowledge management technique demonstrated that pressure management in WDNs is the main policy for risk reduction of leakage and failure.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

10700 - Other natural sciences

Project

<a href="/en/project/LM2023066" target="_blank" >LM2023066: Nanomaterials and Nanotechnologies for Environment Protection and Sustainable Future</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year

2023

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Scientific Reports

ISSN

2045-2322

e-ISSN

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Volume of the periodical

13

Issue of the periodical within the volume

1

Country of publishing house

DE - GERMANY

Number of pages

27

Pages from-to

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UT code for WoS article

001039076900014

EID of the result in the Scopus database

2-s2.0-85165886199