This paper presents the use of histogram of oriented gradients technique, usually applied in the image processing field, to estimate the slip in squirrel cage induction motors. Such value is achieved by monitoring only one machine phase current with sample time in 250ms, wich allows future real time applications. The features extracted with the histograms were used as inputs for a neural network to estimate the final rotation of the machine. The results obtained from some experimental tests are presented to validate the present approach. Resumo: O presente artigo aborda o uso da técnica de histograma de gradientes orientados, normalmente aplicada naárea de processamento de imagens, na estimativa da rotação em motores de indução trifásicos com rotor gaiola de esquilo. Tal grandezaé alcançada a partir do monitoramento de apenas uma das correntes de fase da máquina, empregando janelas amostrais de apenas 250 ms, o que corrobora para futuras aplicações em tempo real. As características extraídas com o apoio dos histogramas foram aplicadas em uma rede neural para a estimativa final da rotação de eixo da máquina. Os resultados obtidos a partir de alguns ensaios experimentais são apresentados no sentido de validar a abordagem proposta.
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