| Predicting motor oil condition using artificial neural networks and principal component analysis J RodRigues, I Costa, JT Farinha, M Mendes, L Margalho Eksploatacja i Niezawodność 22 (3), 2020 | 40 | 2020 |
| Short and long forecast to implement predictive maintenance in a pulp industry JA Rodrigues, JT Farinha, M Mendes, R Mateus, AM Cardoso Eksploatacja i Niezawodność 24 (1), 2022 | 23 | 2022 |
| Predictive Maintenance Tools-A Global Survey J Rodrigues, JT Farinha, AM Cardoso WSEAS Transactions on Systems and Control 16, 96-109, 2021 | 12 | 2021 |
| Comparison of Different Features and Neural Networks for Predicting Industrial Paper Press Condition JA Rodrigues, JT Farinha, M Mendes, RJG Mateus, AJM Cardoso Energies 15 (17), 6308, 2022 | 8 | 2022 |
| Predicting the health status of a pulp press based on deep neural networks and hidden markov models A Martins, B Mateus, I Fonseca, JT Farinha, J Rodrigues, M Mendes, ... Energies 16 (6), 2651, 2023 | 7 | 2023 |
| Automatic Risk Assessment for an Industrial Asset Using Unsupervised and Supervised Learning JA Rodrigues, A Martins, M Mendes, JT Farinha, RJG Mateus, ... Energies 15 (24), 9387, 2022 | 7 | 2022 |
| Prediction of sensor values in paper pulp industry using neural networks JA Rodrigues, JT Farinha, AM Cardoso, M Mendes, R Mateus Proceedings of IncoME-VI and TEPEN 2021: Performance Engineering and …, 2022 | 5 | 2022 |
| Laboratório de Metrologia no apoio à Manutenção de Condição AB Martins, J Rodrigues, J Farinha 15. o Congr. Nac. manutenção, 2019 | 2 | 2019 |
