A particle filter based leak detection technique for water distribution systems

Anjana, GR and Kumar, Sheetal KR and Kumar, Mohan MS and Amrutur, Bharadwaj (2015) A particle filter based leak detection technique for water distribution systems. In: Computing and Control for the Water Industry (CCWI2015)- Sharing the Best Practice in Water Management, SEP 02-04, 2015, Univ Exeter, Leicester, ENGLAND, pp. 28-34.

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Abstract

Leak detection and localization plays an important role in the efficient management of Water Distribution Systems (WDS), as it will help in reducing water wastage. Automation of WDS (with water quantity and quality sensors) has helped the water authorities around the world to get near real time data of important system parameters. Various models developed on the basis of Extended Kalman Filter (EKF), Nonlinear Kalman Filter etc. have been widely used for leak detection in pipelines. These models are applied on flow, pressure and acoustic signals from the system. But the main disadvantage of most of these models is that, they require the non-linear pipeline model to be linearized. In this paper, we propose the use of a Particle Filter (PF) based technique for the detection of leaks in water pipelines, and the developed model is applied to a real world network in Mandya (Karnataka, India). (C) 2015 Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer-review under responsibility of the Scientific Committee of CCWI 2015

Item Type:	Conference Proceedings
Series.:	Procedia Engineering
Additional Information:	Copy right for this article belongs to the ELSEVIER SCIENCE BV, SARA BURGERHARTSTRAAT 25, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
Department/Centre:	Division of Electrical Sciences > Electrical Communication Engineering Division of Interdisciplinary Sciences > Robert Bosch Centre for Cyber Physical Systems Division of Mechanical Sciences > Civil Engineering
Date Deposited:	08 Oct 2016 07:12
Last Modified:	06 Oct 2018 13:58
URI:	http://eprints.iisc.ac.in/id/eprint/54798

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