Considering the scarcity of water resources, it is necessary to identify the leakage in Water Distribution Networks (WDNs). In this paper, a step-by-step method of WDN decomposition has been introduced for leak detection. First, the WDN is divided into two parts using the graph theory, then the part with leakage is identified using the results of pressure loggers and the artificial neural network. This process continues for the identified part to reach the limited leakage area. This method was applied to the Balerma WDN with five leakage scenarios including uncertainty of demand and pressure parameters. The results show that the proposed method can find the leakage area of WDNs with good accuracy.

考虑到水资源的稀缺性，有必要确定配水网（WDN）中的泄漏。本文介绍了一种逐步进行WDN分解的方法来进行泄漏检测。首先，使用图论将WDN分为两部分，然后使用压力记录仪和人工神经网络的结果来识别具有泄漏的部分。继续进行此过程，以使所识别的零件到达受限的泄漏区域。该方法已应用于Balerma WDN，具有五种泄漏情况，包括需求不确定性和压力参数。结果表明，该方法能够准确地找到WDN的泄漏区域。