Reliability Modelling and Analysis of Water Distribution Network Based on Backpropagation Recursive Processes with Real Field Data

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43110%2F20%3A43916403" target="_blank" >RIV/62156489:43110/20:43916403 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/60162694:G43__/20:00537164

Výsledek na webu

<a href="https://doi.org/10.1016/j.measurement.2019.107026" target="_blank" >https://doi.org/10.1016/j.measurement.2019.107026</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.measurement.2019.107026" target="_blank" >10.1016/j.measurement.2019.107026</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Reliability Modelling and Analysis of Water Distribution Network Based on Backpropagation Recursive Processes with Real Field Data

Popis výsledku v původním jazyce

Any water distribution network (WDN) is a key element in critical infrastructure. As time series data mining and modelling are developing apace, these provide promising tools for the research of water resources management. The aim of this article is to explain how incomplete information on the failures in water mains can be used and processed effectively. The data available and under investigation are the truncated failure field data of a regional water distribution network recorded during the last 15 years. We introduce the application of novel, non-trivial dynamic backpropagation recursive time-series models which are later successfully validated by the recorded data. Real field data of a WDN were used while these data were elaborated with a backpropagation Kalman recursor. The results can be used for predicting the reliability of a WDN, or as inputs into a water management system to optimise maintenance, crisis management and emergency planning.

Název v anglickém jazyce

Reliability Modelling and Analysis of Water Distribution Network Based on Backpropagation Recursive Processes with Real Field Data

Popis výsledku anglicky

Any water distribution network (WDN) is a key element in critical infrastructure. As time series data mining and modelling are developing apace, these provide promising tools for the research of water resources management. The aim of this article is to explain how incomplete information on the failures in water mains can be used and processed effectively. The data available and under investigation are the truncated failure field data of a regional water distribution network recorded during the last 15 years. We introduce the application of novel, non-trivial dynamic backpropagation recursive time-series models which are later successfully validated by the recorded data. Real field data of a WDN were used while these data were elaborated with a backpropagation Kalman recursor. The results can be used for predicting the reliability of a WDN, or as inputs into a water management system to optimise maintenance, crisis management and emergency planning.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10103 - Statistics and probability

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2020

Kód důvěrnosti údajů

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

Název periodika

Measurement

ISSN

0263-2241

e-ISSN

—

Svazek periodika

149

Číslo periodika v rámci svazku

January

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

14

Strana od-do

"UNSP 107026"

Kód UT WoS článku

000490131400047

EID výsledku v databázi Scopus

2-s2.0-85072192105