An explainable machine learning approach to the prediction of pipe failure using minimum night flow

• Published in: Journal of hydroinformatics Vol. 26; no. 7; pp. 1490 - 1504
• Main Authors: Hayslep, Matthew, Keedwell, Edward, Farmani, Raziyeh, Pocock, Josh
• Format: Journal Article
• Language: English
• Published: 01.07.2024
• ISSN: 1464-7141; 1465-1734
• DOI: 10.2166/hydro.2024.204

Both minimum night flow (MNF) and pipe failures are common ways of understanding leakage within water distribution networks (WDNs). This article takes a data-driven approach and applies linear models, random forests, and neural networks to MNF and pipe failure prediction. First, models are trained t...