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 | 29 | 2016 |
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 | 24 | 2021 |
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 | 18 | 2021 |
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 | 13 | 2019 |
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 | 3 | 2023 |
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 | 2 | 2021 |
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 | | |