Abstract
In the paper an intelligent monitoring system of local water supply system was described. The author took advantage of methods of artificial intelligence and methods known from model-based process diagnostics to decrease the number of indispensable measuring points. Basing on few flow sensors installed on pipeline network and using neural network as a model of pipeline, appeared leakages are approximately localized. The first stage of system building (choosing of sensor localization, neural network preparing and training) and results obtained to-date were shown.
| Original language | English |
|---|---|
| Pages (from-to) | 33-36 |
| Number of pages | 4 |
| Journal | Eksploatacja i Niezawodnosc |
| Volume | 37 |
| Issue number | 1 |
| Publication status | Published - 2008 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 6 Clean Water and Sanitation
Keywords
- Artificial neural network
- Diagnostics
- Leakage detection and localization
- Water supply systems
ASJC Scopus subject areas
- Safety, Risk, Reliability and Quality
- Industrial and Manufacturing Engineering
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