Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Roberlanio Oliveira Melo"'
Publikováno v:
IEEE Access, Vol 8, Pp 191775-191784 (2020)
Detecting natural gas leaks is one of the most important measures in the oil industry for preventing accidents. The literature provides different techniques for detecting natural gas leaks. However, except for previous studies by the authors on this
Externí odkaz:
https://doaj.org/article/02072d6a36f44a809ba4b7e6f952349b
Autor:
Roberlanio Oliveira Melo, Cicero Ferreira Fernandes Costa Filho, Marly Guimarães Fernandes Costa
Publikováno v:
IEEE Latin America Transactions. 12:1560-1565
This paper proposes a method of detecting natural gas leak in oil installations, applying pattern recognition techniques to digital images using the concept of novelty classifier with digital images originated from Closed-Circuit Television of instal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5b0710ef738ab633ab15a086c6e765fc
https://doi.org/10.1109/tla.2014.7014528
https://doi.org/10.1109/tla.2014.7014528
Autor:
Cicero Ferreira Fernandes Costa Filho, Roberlanio Oliveira Melo, Marly Guimarães Fernandes Costa
Publikováno v:
Autonomous and Intelligent Systems ISBN: 9783642313677
AIS
AIS
This paper presents a new technique for detecting natural gas leaks in the oil and gas industry. More precisely, the detection is done in wellheads of industry installations. In the literature, other methods are already used, but with some drawbacks.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a7196875faefd6cdb9757b7efa41af74
https://doi.org/10.1007/978-3-642-31368-4_29
https://doi.org/10.1007/978-3-642-31368-4_29
