Modelling water distribution network failures and deterioration
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60162694%3AG43__%2F17%3A00534789" target="_blank" >RIV/60162694:G43__/17:00534789 - isvavai.cz</a>
Alternative codes found
RIV/62156489:43110/17:43912866
Result on the web
<a href="http://dx.doi.org/10.1109/IEEM.2017.8290027" target="_blank" >http://dx.doi.org/10.1109/IEEM.2017.8290027</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/IEEM.2017.8290027" target="_blank" >10.1109/IEEM.2017.8290027</a>
Alternative languages
Result language
angličtina
Original language name
Modelling water distribution network failures and deterioration
Original language description
In this article we deal with field data modelling. The data have been recorded during the operation of a drinking water distribution system. Numerous records about water distribution network failures are available. They contain failures during single months in the period of approximately 15 years. Our effort is to observe the failure rate of a water pipeline distribution mains development. To do so, two approaches are used. One is based on modelling the system behaviour when applying the Markov chain with a discrete parameter, and the other one applies a state space model. The article contains not only the description and the design of the behaviour model of water mains, but also the prediction of the water mains behaviour and state in the following period.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
50902 - Social sciences, interdisciplinary
Result continuities
Project
—
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 2017 IEEE International Conference on Industrial Engineering & Engineering Management
ISBN
978-1-5386-0948-4
ISSN
2157-3611
e-ISSN
—
Number of pages
5
Pages from-to
1-5
Publisher name
IEEE
Place of publication
Singapur
Event location
Singapur
Event date
Jan 1, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000428267800189