Using mechanical reliability in multiobjective optimal meter placement for pipe burst detection

Donghwi Jung, Joong Hoon Kim

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

A multiobjective optimal meter placement (MOMP) model is proposed for water distribution system (WDS) pipe burst detection to (1) minimize the normalized total meter cost, (2) maximize the detection probability, (3) minimize the rate of false alarms, and (4) maximize the meter network's mechanical reliability. The mechanical reliability is a meter network's ability to continuously provide informative data/measurement even under measurement failures originating from either missing measurements for time steps or meter malfunction. A novel method for quantifying mechanical reliability is developed based on the simulation of a single-meter failure. In addition to meter locations, the optimal ratio between the pressure and pipe flow meters was identified for a predefined number of meters. The proposed MOMP model was demonstrated on two networks from the literature with different configurations, characteristics, and numbers of components. The results suggest that the proposed MOMP model should be used to determine the optimal meter location and best set of meters for high detectability and mechanical reliability of a specific network of interest.

Original languageEnglish
Article number04018031
JournalJournal of Water Resources Planning and Management
Volume144
Issue number7
DOIs
Publication statusPublished - 2018 Jul 1

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pipe
Pipe
pipe flow
flowmeter
distribution system
cost
water
simulation
detection
ability
costs
Water distribution systems
Pipe flow
alarm
rate
method
water distribution system

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Geography, Planning and Development
  • Water Science and Technology
  • Management, Monitoring, Policy and Law

Cite this

Using mechanical reliability in multiobjective optimal meter placement for pipe burst detection. / Jung, Donghwi; Kim, Joong Hoon.

In: Journal of Water Resources Planning and Management, Vol. 144, No. 7, 04018031, 01.07.2018.

Research output: Contribution to journalArticle

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