Pipe burst diagnostics using evidence theory

Bicik, J; Kapelan, Z; Makropoulos, C; Drasavic, GA

dc.contributor.author	Bicik, J	en
dc.contributor.author	Kapelan, Z	en
dc.contributor.author	Makropoulos, C	en
dc.contributor.author	Drasavic, GA	en
dc.date.accessioned	2014-03-01T01:36:38Z
dc.date.available	2014-03-01T01:36:38Z
dc.date.issued	2011	en
dc.identifier.issn	1464-7141	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/21376
dc.subject	Decision support	en
dc.subject	Diagnostics	en
dc.subject	Evidence theory	en
dc.subject	Pipe burst	en
dc.subject	Water Distribution System	en
dc.subject.classification	Computer Science, Interdisciplinary Applications	en
dc.subject.classification	Engineering, Civil	en
dc.subject.classification	Environmental Sciences	en
dc.subject.classification	Water Resources	en
dc.subject.other	DISTRIBUTION MODEL CALIBRATION	en
dc.subject.other	WATER DISTRIBUTION NETWORKS	en
dc.subject.other	DEMPSTER-SHAFER THEORY	en
dc.subject.other	LEAKAGE DETECTION	en
dc.subject.other	SAMPLING DESIGN	en
dc.subject.other	COMBINATION	en
dc.subject.other	FRAMEWORK	en
dc.subject.other	SYSTEM	en
dc.subject.other	BELIEF	en
dc.subject.other	RISK	en
dc.title	Pipe burst diagnostics using evidence theory	en
heal.type	journalArticle	en
heal.identifier.primary	10.2166/hydro.2010.201	en
heal.identifier.secondary	http://dx.doi.org/10.2166/hydro.2010.201	en
heal.language	English	en
heal.publicationDate	2011	en
heal.abstract	This paper presents a decision support methodology aimed at assisting Water Distribution System (WDS) operators in the timely location of pipe bursts. This will enable them to react more systematically and promptly. The information gathered from various data sources to help locate where a pipe burst might have occurred is frequently conflicting and imperfect. The methodology developed in this paper deals effectively with such information sources. The raw data collected in the field is first processed by means of several models, namely the pipe burst prediction model, the hydraulic model and the customer contacts model. The Dempster-Shafer Theory of Evidence is then used to combine the outputs of these models with the aim of increasing the certainty of determining the location of a pipe burst within a WDS. This new methodology has been applied to several semi-real case studies. The results obtained demonstrate that the method shows potential for locating the area of a pipe burst by capturing the varying credibility of the individual models based on their historical performance. © WA Publishing 2011.	en
heal.publisher	IWA PUBLISHING	en
heal.journalName	Journal of Hydroinformatics	en
dc.identifier.doi	10.2166/hydro.2010.201	en
dc.identifier.isi	ISI:000296242100002	en
dc.identifier.volume	13	en
dc.identifier.issue	4	en
dc.identifier.spage	596	en
dc.identifier.epage	608	en