Prediction of daily failure rate using the serial triple diagram model and artificial neural network

• Published in: Water science & technology. Water supply Vol. 22; no. 9; pp. 7040 - 7058
• Main Author: Kizilöz, Burak
• Format: Journal Article
• Language: English
• Published: London IWA Publishing 01.09.2022
• Subjects: Age; artificial neural network; Artificial neural networks; Asbestos; Cathodic protection; Cement; Charts; Daily; Decision making; Distribution; Drought; Failure; failure rate; Failure rates; Flow velocity; Geographic information systems; Geographical information systems; High density polyethylenes; Information systems; kriging; Methods; Model accuracy; Neural networks; Performance prediction; Polyethylene; Predictions; Rain; Regression analysis; Remote sensing; serial triple diagram model; Soils; Support vector machines; Variables; Water distribution; water distribution network; Water distribution systems; Water engineering; Water quality; Iran; Canada

Abstract In this study, 41 models used for the prediction of daily failure rates in water distribution networks have been designed via the Serial Triple Diagram Model (STDM) and artificial neural network (ANN) methods. For this purpose, daily failure data measured coordinately in the water distribut...