Leak detection in pipelines through spectral analysis of pressure signals

dc.creatorSouza, A.L.
dc.creatorCruz, S.L.
dc.creatorPereira, J.F.R.
dc.date2000-12-01
dc.date2014-07-17T17:37:46Z
dc.date2015-11-26T13:20:42Z
dc.date2014-07-17T17:37:46Z
dc.date2015-11-26T13:20:42Z
dc.date.accessioned2018-03-28T21:04:07Z
dc.date.available2018-03-28T21:04:07Z
dc.identifierBrazilian Journal of Chemical Engineering. Brazilian Society of Chemical Engineering, v. 17, n. 4-7, p. 557-564, 2000.
dc.identifier0104-6632
dc.identifierS0104-66322000000400020
dc.identifier10.1590/S0104-66322000000400020
dc.identifierhttp://dx.doi.org/10.1590/S0104-66322000000400020
dc.identifierhttp://www.scielo.br/scielo.php?script=sci_arttext&pid=S0104-66322000000400020
dc.identifierhttp://www.repositorio.unicamp.br/jspui/handle/REPOSIP/26083
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/26083
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1239732
dc.descriptionThe development and test of a technique for leak detection in pipelines is presented. The technique is based on the spectral analysis of pressure signals measured in pipeline sections where the formation of stationary waves is favoured, allowing leakage detection during the start/stop of pumps. Experimental tests were performed in a 1250 m long pipeline for various operational conditions of the pipeline (liquid flow rate and leakage configuration). Pressure transients were obtained by four transducers connected to a PC computer. The obtained results show that the spectral analysis of pressure transients, together with the knowledge of reflection points provide a simple and efficient way of identifying leaks during the start/stop of pumps in pipelines.
dc.description557
dc.description564
dc.languageen
dc.publisherBrazilian Society of Chemical Engineering
dc.relationBrazilian Journal of Chemical Engineering
dc.rightsaberto
dc.sourceSciELO
dc.subjectleak detection
dc.subjectpressure wave propagation
dc.subjectspectral analysis
dc.titleLeak detection in pipelines through spectral analysis of pressure signals
dc.typeArtículos de revistas


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