NDLI: An Efficient Approach to Fault Identification in Urban Water Networks Using Multi-Level Sensing

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An Efficient Approach to Fault Identification in Urban Water Networks Using Multi-Level Sensing

Content Provider	ACM Digital Library
Author	Amin, Saurabh Abbas, Waseem Perelman, Lina Sela Koutsoukos, Xenofon
Abstract	The objective of this work is to develop an efficient and practical sensor placement method for the failure detection and localization in water networks. We formulate the problem as the minimum test cover problem (MTC) with the objective of selecting the minimum number of sensors required to uniquely identify and localize pipe failure events. First, we summarize a single-level sensing model and discuss an efficient fast greedy approach for solving the MTC problem. Simulation results on benchmark test networks demonstrate the efficacy of the fast greedy algorithm. Second, we develop a multi-level sensing model that captures additional physical features of the disturbance event, such as the time lapsed between the occurrence of disturbance and its detection by the sensor. Our sensor placement approach using MTC extends to the multi-level sensing model and an improved identification performance is obtained via reduced number of sensors (in comparison to single-level sensing model). In particular, we investigate the bi-level sensing model to illustrate the efficacy of employing multi-level sensors for the identification of failure events. Finally, we suggest extensions of our approach for the deployment of heterogeneous sensors in water networks by exploring the trade-off between cost and performance (measured in terms of the identification score of pipe/link failures).
Starting Page	147
Ending Page	156
Page Count	10
File Format	PDF
ISBN	9781450339810
DOI	10.1145/2821650.2821666
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2015-11-04
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Fault localization Water networks Minimum test cover
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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