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dc.contributor.authorOzevin, Didem
dc.contributor.authorHarding, James
dc.date.accessioned2013-11-12T20:01:57Z
dc.date.available2013-11-12T20:01:57Z
dc.date.issued2012-04
dc.identifier.bibliographicCitationOzevin, D. and J. Harding (2012). "Novel leak localization in pressurized pipeline networks using acoustic emission and geometric connectivity." International Journal of Pressure Vessels and Piping 92: 63-69. DOI: 10.1016/j.ijpvp.2012.01.001en_US
dc.identifier.issn0308-0161
dc.identifier.urihttp://hdl.handle.net/10027/10457
dc.descriptionNOTICE: This is the author’s version of a work that was accepted for publication in International Journal of Pressure Vessels and Piping. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in International Journal of Pressure Vessels and Piping, Vol 92, Pages 63-69, April 2012, DOI: 10.1016/j.ijpvp.2012.01.001en_US
dc.description.abstractTime dependent aging and instantaneous threats can cause the initiation of damage in the buried and on-ground pipelines. Damage may propagate all through the structural thickness and cause leaking. The leakage detection in oil, water, gas or steam pipeline networks before it becomes structurally instable is important to prevent any catastrophic failures. The leak in pressurized pipelines causes turbulent flow at its location, which generates solid particles or gas bubbles impacting on the pipeline material. The impact energy causes propagating elastic waves that can be detected by the sensors mounted on the pipeline. The method is called Acoustic Emission, which can be used for real time detection of damage caused by unintentional or intentional sources in the pipeline networks. In this paper, a new leak localization approach is proposed for pipeline networks spread in a two dimensional configuration. The approach is to determine arrival time differences using cross correlation function, and introduce the geometric connectivity in order to identify the path that the leak waves should propagate to reach the AE sensors. The leak location in multi-dimensional space is identified in an effective approach using an array of sensors spread on the pipeline network. The approach is successfully demonstrated on laboratory scale polypropylene pipeline networks.en_US
dc.description.sponsorshipThe authors would like to thank the WISEST program at the UIC for their support to the corresponding author’s research.en_US
dc.language.isoen_USen_US
dc.publisherElsevieren_US
dc.subjectPipeline networken_US
dc.subjectleaken_US
dc.subjectacoustic emissionen_US
dc.subjectgeometric connectivityen_US
dc.titleNovel Leak Localization in Pressurized Pipeline Networks using Acoustic Emission and Geometric Connectivityen_US
dc.typeArticleen_US


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