Due to the increasing global population and the growing demand for food worldwide as well
as changes in weather conditions and the availability of water, artificial intelligence (AI) such …

Leakage detection and localization in pipelines has become an important aspect of water
management systems. Since monitoring leakage in large-scale water distribution networks …

This study focuses on data-driven approaches for burst detection and classifies them into
three categories: classification method, prediction-classification method and statistical …

Water leakage in the supply system is a silent problem that costs billions of dollars yearly. As
these supply pipes are mostly underground, this leakage remains undetected for a long …

Water pipes deterioration modeling has been a prevalent research topic in the last two
decades due to high water break incidents and contamination rates. Failure processes are …

In this paper, leak detection and localization in water distribution networks will be reviewed.
In particular, the paper presents the evolution of the methods from model-based towards …

In recent years, the identification of water leak detection methods has entered a wide range
of fields. Pipeline failures in water distribution networks lead to the loss of a considerable …

To investigate effective and low-cost leakage detection (LD) methods for urban district
heating (DH) networks with an extensive literature review, this paper first classifies the …

Water loss through leaking pipes constitutes a major challenge to the operational service of
water utilities. In recent years, increasing concern about the financial loss and environmental …

Minimum night flow (MNF) is a common method used to evaluate water loss in a water
network. In 2010, the average percentage of non-revenue water for the state of Perak in …