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Burst Detection by Analyzing Shape Similarity of Time Series Subsequences in District Metering Areas
Publisher: ASCE
Abstract: The paper proposes a burst detection method that relies on shape similarity analysis of time series subsequences (i.e., slices of time series). Subsequence libraries are constructed using flow (or water demand) data. ...
Using Correlation between Data from Multiple Monitoring Sensors to Detect Bursts in Water Distribution Systems
Publisher: American Society of Civil Engineers
Abstract: Many burst detection methods, including a prediction stage, have been developed in order to identify bursts in a timely manner. These methods require vast historical data to produce accurate predictions. The clustering-based ...
Burst Detection in District Metering Areas Using Deep Learning Method
Publisher: ASCE
Abstract: Water loss reduction is important in sustainable water resource management. As one of the main water loss control methods, early detection of hydraulic accidents in district metering areas (DMAs) has emerged as a research ...
Leakage Detection in Water Distribution Systems Based on Time–Frequency Convolutional Neural Network
Publisher: ASCE
Abstract: Effectively detecting leaks is critical to improving leakage control management. Acoustic detection is one of the main leakage detection methods, and has been widely used in water utilities. Nevertheless, the effectiveness ...