TY - GEN
T1 - Improving resilience of water distribution system through burst detection
AU - Jung, Donghwi
AU - Kang, Doosun
AU - Liu, Jian
AU - Lansey, Kevin
PY - 2013
Y1 - 2013
N2 - A burst in a water distribution system (WDS) results from the pipe rupture resulting in loss of water and disruptions to customer service. Rapid burst detection increases resilience by reducing the time to identify that a break has occurred to isolate the failed pipes and to recover service. This study compares three univariate and three multivariate Statistical Process Control (SPC) methods with respect to their detectability. The univariate SPC methods are the Western Electric Company (WEC) rules, the Cumulative Sum method (CUSUM), and the Exponentially Weighted Moving Average (EWMA) method, while three multivariate methods are Hotelling T2 method and the multivariate versions of CUSUM and EWMA. A method's detectability is determined by detection efficiency and effectiveness. To test the methods, nodal pressures and pipe flow rates were generated from a real hydraulic model and detectability is computed for flow and pressure meters in alternative configurations.
AB - A burst in a water distribution system (WDS) results from the pipe rupture resulting in loss of water and disruptions to customer service. Rapid burst detection increases resilience by reducing the time to identify that a break has occurred to isolate the failed pipes and to recover service. This study compares three univariate and three multivariate Statistical Process Control (SPC) methods with respect to their detectability. The univariate SPC methods are the Western Electric Company (WEC) rules, the Cumulative Sum method (CUSUM), and the Exponentially Weighted Moving Average (EWMA) method, while three multivariate methods are Hotelling T2 method and the multivariate versions of CUSUM and EWMA. A method's detectability is determined by detection efficiency and effectiveness. To test the methods, nodal pressures and pipe flow rates were generated from a real hydraulic model and detectability is computed for flow and pressure meters in alternative configurations.
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U2 - 10.1061/9780784412947.073
DO - 10.1061/9780784412947.073
M3 - Conference contribution
AN - SCOPUS:84887479149
SN - 9780784412947
T3 - World Environmental and Water Resources Congress 2013: Showcasing the Future - Proceedings of the 2013 Congress
SP - 768
EP - 776
BT - World Environmental and Water Resources Congress 2013
PB - American Society of Civil Engineers (ASCE)
T2 - World Environmental and Water Resources Congress 2013: Showcasing the Future
Y2 - 19 May 2013 through 23 May 2013
ER -