A new fault classification approach applied to Tennessee Eastman benchmark process von D’Angelo, Marcos F.S.V., Palhares, Reinaldo M., Camargos Filho, Murilo C.O., Maia, Renato D., Mendes, João B., Ekel, Petr Ya

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Fault detection in dynamic systems by a Fuzzy/Bayesian network formulation von D’Angelo, Marcos F.S.V., Palhares, Reinaldo M., Cosme, Luciana B., Aguiar, Lucas A., Fonseca, Felipe S., Caminhas, Walmir M.

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Incipient fault detection in induction machine stator-winding using a fuzzy-Bayesian change point detection approach von D’Angelo, Marcos F.S.V., Palhares, Reinaldo M., Takahashi, Ricardo H.C., Loschi, Rosângela H., Baccarini, Lane M.R., Caminhas, Walmir M.

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MONITORING THE STATOR CURRENT IN INDUCTION MACHINES FOR POSSIBLE FAULT DETECTION: A FUZZY/BAYESIAN APPROACH FOR THE PROBLEM OF TIME SERIES MULTIPLE CHANGE POINT DETECTION von D'Angelo, Marcos F.S.V., Palhares, Reinaldo M., Maia, Renato D., Mendes, João B., Ekel, Petr Ya, Cangussu, Camila K.S., Aguiar, Lucas A.

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Traffic Intensity Estimation in Finite Markovian Queueing Systems von van Woensel, T., D’Angelo, Marcos F. S. V., Almeida, Márcio A. C., Cruz, F. R. B.

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Local range image descriptor for general point cloud registration von Borges, Matheus Silveira, Vieira, Antônio Wilson, Carvalho, Álvaro B., D’Angelo, Marcos F. S. V.

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A novel fault prognostic approach based on particle filters and differential evolution von Cosme, Luciana B., D’Angelo, Marcos F. S. V., Caminhas, Walmir M., Yin, Shen, Palhares, Reinaldo M.

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A New Fault Classification Approach Based on Decision Tree Induced by Genetic Programming von Rocha, Rogério C. N., Soares, Rafael A., Santos, Laércio I., Camargos, Murilo O., Ekel, Petr Ya, Libório, Matheus P., dos Santos, Angélica C. G., Vidoli, Francesco, D’Angelo, Marcos F. S. V.

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Incipient fault detection in induction machine stator-winding using a fuzzy-Bayesian two change points detection approach von Moreira, F S, D'Angelo, M F S V, Palhares, R M, Caminhas, W M

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Detection of shorted turns in the field winding of turbogenerators using the neural network MLP von D'Angelo, M.F.S.V., Costa, P.P.

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State estimation for induction machines using an neural network backpropagation technique von D'Angel, M.F.S.V., Costa, P.P.

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