Sensor placement for fault location identification in water networks: A minimum test cover approach
Name
sensor placement preprint submitted to automatica May 2015.pdf
Description
Working paper
Size
1.2 MB
Format
Adobe PDF
Checksum (MD5)
fb0aaa54cf91f7c5d31b520a52091d18
Author(s)
Abbas, Waseem
Koutsoukos, Xenofon
Sela, Polina
Amin, Saurabh
Date Issued
July 2016
Journal
Automatica
Publisher
Elsevier
Citation
Sela Perelman et al. “Sensor Placement for Fault Location Identification in Water Networks: A Minimum Test Cover Approach.” Automatica 72 (October 2016): 166–176 © 2016 Elsevier Ltd
Version
Original manuscript
Abstract
This paper focuses on the optimal sensor placement problem for the identification of pipe failure locations in large-scale urban water systems. The problem involves selecting the minimum number of sensors such that every pipe failure can be uniquely localized. This problem can be viewed as a minimum test cover (MTC) problem, which is NP-hard. We consider two approaches to obtain approximate solutions to this problem. In the first approach, we transform the MTC problem to a minimum set cover (MSC) problem and use the greedy algorithm that exploits the submodularity property of the MSC problem to compute the solution to the MTC problem. In the second approach, we develop a new augmented greedy algorithm for solving the MTC problem. This approach does not require the transformation of the MTC to MSC. Our augmented greedy algorithm provides in a significant computational improvement while guaranteeing the same approximation ratio as the first approach. We propose several metrics to evaluate the performance of the sensor placement designs. Finally, we present detailed computational experiments for a number of real water distribution networks. Keywords: Fault identification; Minimum test cover; Water networks
MIT Department
Massachusetts Institute of Technology. Department of Civil and Environmental Engineering
Terms of Use
Creative Commons Attribution-NonCommercial-NoDerivs License
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1016/j.automatica.2016.06.005
