July 23, 2018
Conference Paper

Detectability-Based Resilience of Water Distribution System Using Failure Finger Print

Abstract

This study introduces a detectability-based sensor localizing framework to enhance the resilience of water distribution systems. The framework includes leakage detection and resilience assessment. A feasibility test and a sensitivity analysis prove the framework successfully can detect correct leakage location. The resilience measure was found to increase for higher detectability and shorter identification time. The sensor location is constrained by minimizing the number of sensors and maximizing the detectability and resilience. Results show that two sensors will efficiently detect burst leakage in the studied network. Detectability varies from 71.3% to 99.4% depending on the location of two sensors, while resilience value was reduced by 7.5%. Estimated water loss due to detection time lag are almost 111 ML, which may lead to significant direct and indirect economic loss.

Revised: May 1, 2019 | Published: July 23, 2018

Citation

Lee S., S. Shin, S.J. Burian, D.R. Judi, and T.N. McPherson. 2018. Detectability-Based Resilience of Water Distribution System Using Failure Finger Print. In 1st International WDSA / CCWI 2018 Joint Conference, July 23-25, 2018, Kingston, Ontario, Canada, 1, Article No. 178. Ontario:Queen's University. PNNL-SA-137376.