dc.creatorMorocho Zurita, Carlos Villie
dc.creatorBautista Llivisaca, Mateo Sebastian
dc.creatorColina Morles, Eliezer
dc.creatorFalconi Abad, Mara Ximena
dc.date.accessioned2018-01-11T16:47:47Z
dc.date.accessioned2022-10-20T23:12:28Z
dc.date.available2018-01-11T16:47:47Z
dc.date.available2022-10-20T23:12:28Z
dc.date.created2018-01-11T16:47:47Z
dc.date.issued2015-07-21
dc.identifier9789897581236
dc.identifierhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84943514748&partnerID=40&md5=260ed49af5f3f90413fc6f8b3b4b6e2f
dc.identifierhttp://dspace.ucuenca.edu.ec/handle/123456789/29227
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/4615684
dc.description.abstractThe core of the cement production process is the clinker kiln. Proper operation of the kiln depends on factors such as the timely monitoring of its thermal behavior under different operation conditions. This work includes a systematization of empirical knowledge of skilled kiln operators, linking it with the analysis of thermography images of the kiln using Open CV. The paper includes an integration of interventions implemented by the operators, in terms of a log described in natural language. The work highlights potential uses of the knowledge of experienced operators, when this is combined with techniques based on image analysis and artificial intelligence.
dc.languageen_US
dc.publisherSCITEPRESS
dc.sourceICINCO 2015 - 12th International Conference on Informatics in Control, Automation and Robotics, Proceedings
dc.subjectCement Kiln
dc.subjectClinker
dc.subjectPattern Recognition
dc.subjectTwo Bag-Of-Words Classifiers
dc.titleAnalysis of thermographic patterns using open CV: Case study: A clinker kiln
dc.typeArticle


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