Pressure Transient Detection and Pattern Discovery in Water Distribution Systems
Lu Xing, Lina Sela · 2019
In water distribution systems (WDSs), pressure transients reflect the responses of WDSs to normal and abnormal changes. The behavior of pressure transients is largely unknown and cannot be fully assessed by numerical simulation or modeling. This study proposed a two-step time series data mining (TSDM) approach for detecting and clustering pressure transients to reveal recurrent and consistent patterns based on high-resolution pressure data collected by a network of sensors. First, the modified cumulative sum control chart (CUSUM) approach is performed on the pressure data preprocessed by piecewise aggregative approximation (PAA) to detect and extract pressure transient events. Second, a novel clustering technique is applied to cluster the extracted pressure transients based on their similarity as measured by dynamic time warping (DTW). An example application of this method has been implemented to confirm that the proposed approach provides a fast and efficient way to reveal consistent and unique patterns in WDSs.