https://www.scipedia.com/wd/index.php?action=history&feed=atom&title=Silva_et_al_2014aSilva et al 2014a - Revision history2026-05-07T06:25:15ZRevision history for this page on the wikiMediaWiki 1.27.0-wmf.10https://www.scipedia.com/wd/index.php?title=Silva_et_al_2014a&diff=196165&oldid=prevScipediacontent: Scipediacontent moved page Draft Content 404769610 to Silva et al 2014a2021-02-01T14:53:53Z<p>Scipediacontent moved page <a href="/public/Draft_Content_404769610" class="mw-redirect" title="Draft Content 404769610">Draft Content 404769610</a> to <a href="/public/Silva_et_al_2014a" title="Silva et al 2014a">Silva et al 2014a</a></p>
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</td></tr></table>Scipediacontenthttps://www.scipedia.com/wd/index.php?title=Silva_et_al_2014a&diff=196164&oldid=prevScipediacontent: Created page with " == Abstract == Pipeline networks are complex systems of ducts transporting gas and chemical products through long distances. With the purpose to track these leaks a techniqu..."2021-02-01T14:53:49Z<p>Created page with " == Abstract == Pipeline networks are complex systems of ducts transporting gas and chemical products through long distances. With the purpose to track these leaks a techniqu..."</p>
<p><b>New page</b></p><div><br />
== Abstract ==<br />
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Pipeline networks are complex systems of ducts transporting gas and chemical products through long distances. With the purpose to track these leaks a technique, based on the analysis of sound noises ca ptured by a microphone and on pressure transients generate d by leak occurrence, was developed. Neural Artificial Networks were applied to determine leak magnitude and leak location. The experimental results showed that it is possible to detect leaks in pipelines. The dynamics of these noises in time were used as input to the neur al model to determine the location and magnitude of th e leaks.<br />
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== Original document ==<br />
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The different versions of the original document can be found in:<br />
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* [http://dx.doi.org/10.2316/p.2013.807-014 http://dx.doi.org/10.2316/p.2013.807-014]<br />
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* [http://pdfs.semanticscholar.org/57ce/470177296a7d3840ec79b8bdfe022f2a43dc.pdf http://pdfs.semanticscholar.org/57ce/470177296a7d3840ec79b8bdfe022f2a43dc.pdf]<br />
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* [http://www.actapress.com/PaperInfo.aspx?paperId=455791 http://www.actapress.com/PaperInfo.aspx?paperId=455791],<br />
: [https://academic.microsoft.com/#/detail/2317147191 https://academic.microsoft.com/#/detail/2317147191]</div>Scipediacontent