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A Mobile Solution to Enhance Training and Execution of Troubleshooting Techniques of the Engine Air Bleed System on Boeing 737

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A Mobile Solution to Enhance Training and Execution of Troubleshooting Techniques of the Engine Air Bleed System on Boeing 737

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dc.contributor.author Rios, Horacio es_ES
dc.contributor.author Gonzalez, Eduardo es_ES
dc.contributor.author Rodriguez, Ciro es_ES
dc.contributor.author Siller, Hector R. es_ES
dc.contributor.author Contero, Manuel es_ES
dc.date.accessioned 2016-01-18T12:23:23Z
dc.date.available 2016-01-18T12:23:23Z
dc.date.issued 2013
dc.identifier.issn 1877-0509
dc.identifier.uri http://hdl.handle.net/10251/59986
dc.description.abstract The process of troubleshooting an aircraft engine requires highly skilled and trained personnel who must be able to respond effectively to any circumstance; therefore, new methods of training to accelerate the cognitive processes of technicians must be integrated in the industry. In this matter the Augmented Reality technology represents an innovative tool that can ensure the efficient and correct transfer of knowledge. The numbers of errors during maintenance tasks can be reduced, AR provides information that is generally not easily available during maintenance operations because, in general, the troubleshooting process for airplane engine is a highly complex task and the diagnosis of a failure is critical for the passengers safety. This research focuses on training and execution of tasks where an aviation technician must be familiarized with a wide variety of technical data, physical components of mechanical systems and the regulations that must be followed to release an airplane for flight, the specialist must develop a correct mind map of the system and should be able to troubleshoot if necessary. The case of study is the 737 Engine Bleed Air System that is designed to provide engine compressed air to air conditioning pack with the purpose of air pressurization during flight; engine air from the compressor is used, from the 5° and the 9° stage in a safe an economical way, knowledge of the correct function of the components will increase safety and considerably reduce cost of maintenance operations. The purpose of the investigation was to develop an ergonomic tool than improves the cognitive process of technician during training for the troubleshooting techniques of the aircraft, but it also can be used to the everyday task by capturing the know-how and helpful tips from more experienced operators. A mobile solution that functions on regular tablets was delivered to enhance the troubleshooting techniques and maintenance procedures of the Engine Air Bleed System, the software can function on two aspects for training and in situ operations. A commercial aeronautical training kit was used to validate the Fault Isolation Software; the results showed that the augmented reality technique takes 17% less time and a quality increment of 24% for this complex assembly system. es_ES
dc.language Inglés es_ES
dc.publisher Elsevier es_ES
dc.relation.ispartof Procedia Computer Science es_ES
dc.rights Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) es_ES
dc.subject Augmented Reality es_ES
dc.subject Troubleshooting es_ES
dc.subject Aircraft es_ES
dc.subject Complex Assembly es_ES
dc.subject.classification EXPRESION GRAFICA EN LA INGENIERIA es_ES
dc.title A Mobile Solution to Enhance Training and Execution of Troubleshooting Techniques of the Engine Air Bleed System on Boeing 737 es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1016/j.procs.2013.11.020
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Ingeniería Gráfica - Departament d'Enginyeria Gràfica es_ES
dc.description.bibliographicCitation Rios, H.; Gonzalez, E.; Rodriguez, C.; Siller, HR.; Contero, M. (2013). A Mobile Solution to Enhance Training and Execution of Troubleshooting Techniques of the Engine Air Bleed System on Boeing 737. Procedia Computer Science. 25:161-170. doi:10.1016/j.procs.2013.11.020 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://dx.doi.org/10.1016/j.procs.2013.11.020 es_ES
dc.description.upvformatpinicio 161 es_ES
dc.description.upvformatpfin 170 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 25 es_ES
dc.relation.senia 258388 es_ES


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