Documentação de convênios

URI permanente desta comunidadehttps://rigalileo.itegam.org.br/handle/123456789/173

Trabalhos ténico-científico oriundos de convênios com universidades para oferta de turmas de mestrado e doutorados no Estado do Amazonas

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Modelo híbrido baseado em séries temporais e redes neurais para previsão da geração de energia eólica
(Universidade Federal do Pará, 2018) ALENCAR, David Barbosa de; AFFONSO, Carolina de Mattos; OLIVEIRA, Roberto Célio Limão de
Electric power generation through wind turbines is one of the practically inexhaustible alternatives for clean energy. However, advances in science and technology are still needed to ensure greater uniformity in generation and increase the participation of wind energy in the energy matrix. This thesis proposes the development of prediction models for wind speed and energy generation over different time horizons — ultra-short, short, medium, and long-term — using computational intelligence techniques, such as SARIMA models and Artificial Neural Networks (ANN), as well as hybrid models combining these approaches. The methodology was applied using meteorological data from the Petrolina/PE station, from the SONDA database, between 2004 and 2017. The results demonstrated that the proposed hybrid model showed better performance, especially for the hourly forecast horizon, significantly contributing to the reliability and security of wind energy integration into the electrical system.
UTILIZAÇÃO DO ALGORITMO NO CEP E SUA CONFIABILIDADE NOS PROCESSOS INDUSTRIAIS, APLICADO EM CONTROLE DE TORQUE: ESTUDO DE CASO DO PÓLO DE DUAS RODAS
(Universidade Federal do Pará, 2011) ALENCAR, David Barbosa de; LIMÃO, Roberto Célio
The use of Statistical Process Control (SPC) is crucial in the production process, requiring continuous improvement. However, there is resistance to adopting new methodologies. The use of computational tools in SPC has become an essential trend. This dissertation aims to guide companies and institutions in adopting such tools, presenting an algorithm to optimize SPC application. Statistical techniques are employed to validate process security, demonstrating that SPC is a management tool that enables measuring product and service quality, comparing them to desired standards, and implementing corrective actions. The proposed approach is illustrated through a case study in the two-wheel industrial sector.
Utilização do Algoritmo no Controle Estatístico de Processo (CEP) e sua Confiabilidade nos Processos Industriais Aplicado em Controle de Torque: Estudo de Caso do Pólo de Duas Rodas
(Universidade Federal do Pará, 2011) ALENCAR, David Barbosa de; OLIVEIRA, Roberto Célio Limão de
The use of Statistical Process Control (SPC) is undoubtedly crucial in the production process, and competitiveness requires continuous improvement in the application of this tool. This paper aims to guide institutions and companies that want to adopt the use of computer technologies tools as SPC, presented through a simplified and affordable, the use of an algorithm. Statistical techniques can be excellent to show the degree of security required by a particular process, and here we show which tools to use in the SPC, to study and validate retrospectively the performance of understanding the production stage, we discuss the use of an algorithm for this application. The case study was applied in a two-wheel hub company, demonstrating the effectiveness of the algorithm in reducing process time and improving torque control reliability.