TY - JOUR
T1 - Burst detection in water distribution system using the extended Kalman filter
AU - Jung, D.
AU - Lansey, K.
N1 - Funding 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.
PY - 2014
Y1 - 2014
N2 - 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.
AB - 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.
KW - Burst detection
KW - Extended Kalam filter (EKF)
KW - Innovation sequence
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U2 - 10.1016/j.proeng.2014.02.100
DO - 10.1016/j.proeng.2014.02.100
M3 - Conference article
SN - 1877-7058
VL - 70
SP - 902
EP - 906
JO - Procedia Engineering
JF - Procedia Engineering
T2 - 12th International Conference on Computing and Control for the Water Industry, CCWI 2013
Y2 - 2 September 2013 through 4 September 2013
ER -