ID:
publications-4337
Type:
article
Year:
2015
Authors:
Jung, Donghwi and Jung, Donghwi and Jung, Donghwi and Lansey, Kevin and Lansey, Kevin E
Title:
Water distribution system burst detection using a nonlinear Kalman filter
Venue/Journal:
Journal of Water Resources Planning and Management
DOI:
10.1061/(asce)wr.1943-5452.0000464
Research type:
Water System:
Technical Focus:
Abstract:
AbstractA water distribution system burst from a sudden pipe failure results in water loss and disruption of customer service. Artificial neural networks, state estimation, and statistical process control (SPC) have been applied to detect bursts. However, system operational condition changes such as the set of operating pumps and valve closures greatly complicates the detection problem. Thus, to date applications have been limited to networks that are supplied by gravity or under consistent operation conditions. This study seeks to overcome these limitations using a nonlinear Kalman filter (NKF) method to identify system condition, estimate system state, and detect bursts.
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