Leak diagnosis in pipelines using a combined artificial neural network approach
EJ Pérez-Pérez, FR López-Estrada… - Control Engineering …, 2021 - Elsevier
Leakages in pipelines affect the reliability of fluid transport systems causing environmental
damages, economic losses, and pressure reduction at the delivery points. Therefore, this
paper presents a methodology to detect and locate water leaks in pipelines by using artificial
neural networks (ANN) techniques and online measurements of pressure and flow rate.
Contrary to reported works in the literature, the proposed method estimates the friction factor
of the pipe and uses this information as an input to compute the leak position. Data …
damages, economic losses, and pressure reduction at the delivery points. Therefore, this
paper presents a methodology to detect and locate water leaks in pipelines by using artificial
neural networks (ANN) techniques and online measurements of pressure and flow rate.
Contrary to reported works in the literature, the proposed method estimates the friction factor
of the pipe and uses this information as an input to compute the leak position. Data …
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