Failures Prediction of Pipelines Carrying Natural Gas Using Bees Algorithm

dc.contributor.author	Lezama León, Evangelina	en_US
dc.date.accessioned	2013-11-04T20:53:13Z
dc.date.available	2013-11-04T20:53:13Z
dc.date.issued	2011	en_US
dc.identifier.citation	J.C González-Islas, E. Bolaños-Rodríguez y A.E. Solis-Galindo. Failures Prediction of Pipelines Carrying Natural Gas Using Bees Algorithm. Enviado a publicar a ECS Transactions-Boston-Estados Unidos. ISSN 1938-5862 (Print)	es
dc.identifier.uri	https://repository.uaeh.edu.mx/bitstream/handle/123456789/7328
dc.description.abstract	The purpose of this research is to predict failures (corrosion, cracks, laminations, joins or others) in pipelines carrying natural gas. Using the Bees Algorithm based on the behavior that is performed in nature. The obtained results show the systematic occurrence of faults, which implies the need for preventive maintenance in pipelines to keep infrastructure and population security.	es
dc.language	es	en_US
dc.subject	Computación Inteligente para Automatización y Control	es
dc.title	Failures Prediction of Pipelines Carrying Natural Gas Using Bees Algorithm	es
dc.type	Article	en_US