Latest revision as of 19:46, 3 February 2021

Abstract

The physical and operational properties of pipelines vary greatly. There is thus no universally applicable method, external or internal, which possesses all the features and the functionality required for a perfect leak detection performance. The authors of this paper know quite well that traditional methods, in a low uncertainty environment, overcome artificial intelligence methods of leak detection systems. If one considers the real world as a creator of uncertainties, neural networks and fuzzy systems emerge as important promising technologies for the development of leak detection systems. In this work, we propose a method for constructing ensembles of ANNs for pipeline leak detection. The results obtained in our experiments were satisfactory.Copyright © 2008 by ASME

Original document

The different versions of the original document can be found in:

• http://pdfs.semanticscholar.org/772e/a7a4d174bb2f6a7257e73640668ecf1152b8.pdf

• http://asmedigitalcollection.asme.org/IPC/proceedings-pdf/doi/10.1115/IPC2008-64664/2717393/739_1.pdf,

http://dx.doi.org/10.1115/ipc2008-64664

• http://www.professores.uff.br/fcbernardini/papers/Bicharra_Ferraz_Bernardini-Pipeline2008.pdf,

https://asmedigitalcollection.asme.org/IPC/proceedings/IPC2008/48579/739/336443,

https://proceedings.asmedigitalcollection.asme.org/proceeding.aspx?articleid=1640428,

http://proceedings.asmedigitalcollection.asme.org/proceeding.aspx?articleid=1640428,

https://www.addlabs.uff.br/Novo_Site_ADDLabs/images/documentos/publicacoes/publicacoes_pdf/trabalhos_anais_congresso/2008/20130809154919_2008%20-%20Artificial%20neural%20networks%20ensemble%20used%20for%20pipeline%20leak%20detection%20systems.pdf,

http://www.addlabs.uff.br/Novo_Site_ADDLabs/images/documentos/publicacoes/publicacoes_pdf/trabalhos_anais_congresso/2008/20130809154919_2008%20-%20Artificial%20neural%20networks%20ensemble%20used%20for%20pipeline%20leak%20detection%20systems.pdf,

https://academic.microsoft.com/#/detail/2114470142