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

Kód výsledku v 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>

Nalezeny alternativní kódy

RIV/46747885:24620/23:00011233

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10700 - Other natural sciences

Projekt

<a href="/cs/project/LM2023066" target="_blank" >LM2023066: Nanomateriály a nanotechnologie pro ochranu životního prostředí a udržitelnou budoucnost</a><br>

Návaznosti

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

Rok uplatnění

2023

Kód důvěrnosti údajů

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

Název periodika

Scientific Reports

ISSN

2045-2322

e-ISSN

—

Svazek periodika

13

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

DE - Spolková republika Německo

Počet stran výsledku

27

Strana od-do

—

Kód UT WoS článku

001039076900014

EID výsledku v databázi Scopus

2-s2.0-85165886199