A water distribution system burst from a pipe rupture results in water loss and disruptions of customer service. Numerous methods, including Statistical Process Control, time series modeling, and pattern recognition, have been applied to detect bursts. However, system changes its boundary conditions such as the set of operating pumps and valve closures greatly complicating the detection problem. Thus, to date applications have been limited to the network supplied by gravity or under constant boundary conditions. This study seeks to overcome these limitation using the Kalman filter method to estimate the system state and detect bursts.
|Number of pages||5|
|Publication status||Published - 2014|
|Event||12th International Conference on Computing and Control for the Water Industry, CCWI 2013 - Perugia, Italy|
Duration: 2013 Sept 2 → 2013 Sept 4
Bibliographical noteFunding Information:
This material is based in part upon work supported by the National Science Foundation under Grant No. 083590. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.
- Burst detection
- Extended Kalam filter (EKF)
- Innovation sequence
ASJC Scopus subject areas