- Tytuł:
- Failures location within water-supply systems by means of neural networks
- Autorzy:
-
Rojek, I.
Studziński, J. - Powiązania:
- https://bibliotekanauki.pl/articles/385212.pdf
- Data publikacji:
- 2014
- Wydawca:
- Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
- Tematy:
-
water supply networks
network hydraulic
model, detection and location of water leakages
neural networks - Opis:
- In the article the neural networks used for failures location for water supply networks are presented. To do this a hydraulic model of the water net, as well as an appropriate developed monitoring system have to be used. The current applications of monitoring systems installed in the waterworks do not realize their possibilities. The monitoring systems provided as autonomic programs to collect and record the information about flows and pressures of water in source pumping stations, in the pump stations bringing up the water pressure inside the water net and in the pipes of water supply network give a general knowledge about state of its work, but if they would be used as elements of IT systems supporting the water network management, they could help to solve the tasks concerning detection and localization of water leaks. The models of failures location in water nets described in the paper are created by means of neural networks in the form of MLP nets.
- Źródło:
-
Journal of Automation Mobile Robotics and Intelligent Systems; 2014, 8, 2; 24-28
1897-8649
2080-2145 - Pojawia się w:
- Journal of Automation Mobile Robotics and Intelligent Systems
- Dostawca treści:
- Biblioteka Nauki
Artykuł