Sensor Placement for Fault Diagnosis Performance Maximization in Distribution Networks

Sarrate, Ramon; Nejjari, Fatiha; Rosich, Albert

doi:10.1109/MED.2012.6265623

Reference : Sensor Placement for Fault Diagnosis Performance Maximization in Distribution Networks


	Document type :	Scientific congresses, symposiums and conference proceedings : Paper published in a book
	Discipline(s) :	Engineering, computing & technology : Computer science
	To cite this reference:	http://hdl.handle.net/10993/4480

Title :	Sensor Placement for Fault Diagnosis Performance Maximization in Distribution Networks
Language :	English
Author, co-author :	Sarrate, Ramon [Universitat Politècnica de Catalunya > ESAII - SAC]
	Nejjari, Fatiha [Universitat Politècnica de Catalunya > ESAII - SAC]
	Rosich, Albert [Universitat Politècnica de Catalunya > ESAII - SAC]
Publication date :	2012
Main document title :	Control & Automation (MED), 2012 20th Mediterranean Conference on
Pages :	1-6
Peer reviewed :	Yes
Audience :	International
ISBN :	978-1-4673-2530-1
Event name :	20th Mediterranean Conference on Control and Automation (MED)
Event date :	from 03-07-2012 to 06-07-2012
Event place (city) :	Barcelona
Event country :	Spain
Keywords :	[en] Fault diagnosis ; Sensor placement ; Water networks
Abstract :	[en] The success of any diagnosis strategy critically depends on the sensors measuring process variables. This paper presents a strategy based on diagnosability maximization for optimally locating sensors in distribution networks. The goal is to characterize and determine the set of sensors that guarantees a maximum degree of diagnosability taking into account a given sensor configuration cardinality constraint. The strategy is based on the structural model of the system under consideration. Structural analysis is a powerful tool for determining diagnosis possibilities and evaluating whether the number and the location of sensors are adequate in order to meet some diagnosis specifications. The proposed approach is successfully applied to leakage detection in a Drinking Water Distribution Network.
Permalink :	http://hdl.handle.net/10993/4480
DOI :	10.1109/MED.2012.6265623

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