Spectral Analysis For Detection Of Leaks In Pipes Carrying Compressed Air

dc.creatorSantos R.B.
dc.creatorDe Almeida W.S.
dc.creatorDa Silva F.V.
dc.creatorDa Cruz S.L.
dc.creatorFileti A.M.F.
dc.date2013
dc.date2015-06-25T19:10:32Z
dc.date2015-11-26T15:08:03Z
dc.date2015-06-25T19:10:32Z
dc.date2015-11-26T15:08:03Z
dc.date.accessioned2018-03-28T22:18:30Z
dc.date.available2018-03-28T22:18:30Z
dc.identifier
dc.identifierChemical Engineering Transactions. Italian Association Of Chemical Engineering - Aidic, v. 32, n. , p. 1363 - 1368, 2013.
dc.identifier19749791
dc.identifier10.33032/CET1332228
dc.identifierhttp://www.scopus.com/inward/record.url?eid=2-s2.0-84879217529&partnerID=40&md5=3c54237bf3bbe59b833edecf568c8300
dc.identifierhttp://www.repositorio.unicamp.br/handle/REPOSIP/88522
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/88522
dc.identifier2-s2.0-84879217529
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1257603
dc.descriptionPipe networks constitute the means of transporting fluids widely used nowadays. Increasing the operational reliability of these systems is crucial to minimize the risk of leaks, which can cause serious pollution problems to the environment and have disastrous consequences if the leak occurs near residential areas. Considering the importance in developing efficient systems for detecting leaks in pipelines, this work aims to detect the characteristic frequencies (predominant) in case of leakage and no leakage. The methodology consisted of capturing the experimental data through a microphone installed inside the pipeline and coupled to a data acquisition card and a computer. The Fast Fourier Transform (FFT) was used as the mathematical approach to the signal analysis from the microphone, generating a frequency response (spectrum) which reveals the characteristic frequencies for each operating situation. The tests were carried out using distinct sizes of leaks, situations without leaks and cases with blows in the pipe caused by metal instruments. From the leakage tests, characteristic peaks were found in the FFT frequency spectrum using the signal generated by the microphone. Such peaks were not observed in situations with no leaks. Therewith, it was realized that it was possible to distinguish, through spectral analysis, an event of leakage from an event without leakage. Copyright © 2013, AIDIC Servizi S.r.l.
dc.description32
dc.description
dc.description1363
dc.description1368
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dc.languageen
dc.publisherItalian Association of Chemical Engineering - AIDIC
dc.relationChemical Engineering Transactions
dc.rightsfechado
dc.sourceScopus
dc.titleSpectral Analysis For Detection Of Leaks In Pipes Carrying Compressed Air
dc.typeActas de congresos


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