Reliability modelling and analysis of water distribution network based on backpropagation recursive processes with real field data

Ładowanie...
Miniatura
Data
2020
Inny tytuł
Typ
Artykuł w czasopiśmie
Redaktor
dc.contributor.advisor
Dyscyplina PBN
Informatyka techniczna i telekomunikacja
Czasopismo lub seria
Measurement
ISSN
0263-2241
ISBN
DOI
10.1016/j.measurement.2019.107026
Strona internetowa
Wydawca
Wydawca
Wydanie
Numer
Strony od-do
Tytuł monografii
item.page.defence
Tytuł tomu
Projekty badawcze
Jednostki organizacyjne
Numer czasopisma
Opis
Rodzaj licencji
cc-by-nc-sacc-by-nc-sa
Abstrakt (en)
Any water distribution network (WDN) is a key element in critical infrastructure. As time series data min ing 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 reli ability of a WDN, or as inputs into a water management system to optimise maintenance, crisis manage ment and emergency planning
Konferencja