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Denys Pestana
Denys Pestana
Centro Federal de Educação Tecnológica Celso Suckow da Fonseca (CEFET/RJ)
Verified email at aluno.cefet-rj.br
Title
Cited by
Cited by
Year
The influence of feature vector on the classification of mechanical faults using neural networks
D Pestana-Viana, R Zambrano-López, AA De Lima, TM Prego, SL Netto, ...
2016 IEEE 7th Latin American Symposium on Circuits & Systems (LASCAS), 115-118, 2016
292016
Diagnostic and severity analysis of combined failures composed by imbalance and misalignment in rotating machines
DHC de Sá Só Martins, DP Viana, AA de Lima, MF Pinto, L Tarrataca, ...
The International Journal of Advanced Manufacturing Technology 114 (9), 3077 …, 2021
242021
Creation of publicly available data sets for prognostics and diagnostics addressing data scenarios relevant to industrial applications
S Hagmeyer, F Mauthe, P Zeiler
International Journal of Prognostics and Health Management 12 (2), 2021
182021
Application of machine learning in diesel engines fault identification
D Pestana-Viana, RHR Gutiérrez, AA de Lima, FL e Silva, L Vaz, ...
Proceedings of the 10th International Conference on Rotor Dynamics–IFToMM …, 2019
132019
Improved variational mode decomposition for combined imbalance-and-misalignment fault recognition and severity quantification
DH Martins, AA de Lima, RHR Gutiérrez, D Pestana-Viana, SL Netto, ...
Engineering Applications of Artificial Intelligence 124, 106516, 2023
32023
Similarity based methods for faulty pattern detection in predictive maintenance
SB Ramezani, L Cummins, B Killen, R Carley, S Rahimi, M Seale
2021 International Conference on Computational Science and Computational …, 2021
22021
Proceedings of the 10th International Conference on Rotor Dynamics–IFToMM: Vol. 2
KL Cavalca, HI Weber
Springer, 2018
2018
Application of Machine Learning in Diesel Engines Fault Identification
FL e Silva, L Vaz, TM Prego, UA Monteiro
Diagnostico de falhas em máquinas rotativas utilizando Random Forest
A de Lima, R Zambrano-López, SL Netto
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