Aircraft interior failure pattern recognition utilizing text mining and neural networks

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Monitoramento e avaliação da condição de um sistema propulsor aeronaútico através de técnicas de análise de partículas em óleos lubrificantes

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Otimização de altitude de vôo para aeronaves executivas para economia de combustível e tempo

This work approaches, in a simplified manner, the analysis of an aircraft’s trajectory through the 3 main flight phases, climb, cruise and descent, related to fuel consumption and elapsed time. From this analysis is developed a tool that aims optimize the flight planning operational procedure, providing an altitude that comply with fuel saving during the trip, or minimizes the trip time. The use of any altitude is an operator’s decision, that aims comply with their operational needs of each trip, getting the results provided by the tool as a primary approach to the flight profile that also bring up economics aspects of each possibility of decision to be taken. Since the aeronautical Market has singular problems, as the flight altitude optimization, there is the need to solutions very customized that many times can not attend every restriction for each operator and its related kind of operation. When we talk about executive aircrafts, is possible to note that its operators does not have enough engineering and logistic support, when compared to huge airlines companies, to analyze all exceptions of each singular operation, creating many times wastes that can be avoiding with a tool described herein in this work

Eficiência das companhias aéreas brasileiras: uma análise envoltória de dados

Studies about efficiency have gained dimension, in Brazil, since the early 90’s. Same decade that the Civil Aviation System suffers important changes in terms of regulations. Such transformations have echoed effects currently, with some significant trend for international standards. This paper focuses on one of the agents from the Brazilian Civil Aviation System, the airlines companies, which aimed on analyze and evaluate both passengers and cargo air transport, by using data envelopment analysis (DEA), during the period of 2005 to 2010. The yearbooks of ANAC, corresponding at the period from 2005 to 2010, were used as data base in this present study. The technique was applied to 14 companies, which through Stepwise process of variables validation was possible to compose a compact, but complete model, that could translate the reality of companies. This model was composed by one output, Total Income, and by four inputs, Total Costs, Total Domestic Passenger, Total Cargo and Total International Passengers. However, this approach has some flaws. Therefore in order to remedy it, it was required to apply the method Frontier Inverted, one of the alternatives proposed in the literature, which ensured an improvement in the context of efficiencies due to biggest discrimination of airlines. As a result of the DEA-BCC process, oriented by output, TAM 2005 was considered the most efficient company, however GOL and Webjet companies concentrated in 2007 their worst levels