Projects per year
Personal profile
Biography
My formation background is in Mechanical Engineering. I recently completed a master's degree in Industrial Engineering and Management, where I had the opportunity to deepen and acquire broadband Industrial Engineering knowledge. At the moment I am doing my Ph.D. in the same area, focusing on metrology as a support tool for maintaining conditions.
At a professional level, I am currently working at Lusófuna University as a Teacher and Researcher.
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Collaborations and top research areas from the last five years
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Projects
- 1 Active
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TransferSIMS: Transferência de tecnologia SIMS
Marques, P. A. D. A. (PI), Mateus, B. P. C. (Researcher), RODRIGUES, J. C. A. (Researcher) & Martins, A. D. B. (Researcher)
COMPETE2030-Programa Operacional Competitividade e Internacionalização
15/09/25 → 14/09/27
Project: Research
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An integrated risk-informed multicriteria approach for determining optimal inspection periods for protective sensors
Mateus, R. J. G., Assis, R., Carmona Marques, P., Martins, A. D. B., Rodrigues, J. C. A. & Pinto, F. S., Jan 2026, In: Sensors. 26, 1, 213.Research output: Contribution to journal › Article › peer-review
Open Access -
Artificial intelligence in asset management: redefining efficiency and predicting failures
Mateus, B. C., Martins, A., Antones Rodrigues, J., Torres Farinha, J. & Armindo, V. A., 2026, In: Production and Manufacturing Research. 14, 1, 2652196.Research output: Contribution to journal › Article › peer-review
Open Access -
A new adaptable data-driven model approach for applying predictive maintenance in industrial systems through confidence sphere and the HMM-SVM method
Martins, A., Rodrigues, J., Mateus, B., Fonseca, I. & Farinha, J. T., Dec 2025, In: Results in Engineering. 28, 108131.Research output: Contribution to journal › Article › peer-review
Open Access2 Citations (Scopus) -
Hybrid Deep Learning for Predictive Maintenance: LSTM, GRU, CNN, and Dense Models Applied to Transformer Failure Forecasting
Mateus, B. C., Mendes, M., Farinha, J. T. & Martins, A., Nov 2025, In: Energies. 18, 21, 5634.Research output: Contribution to journal › Article › peer-review
Open Access10 Citations (Scopus) -
Prediction maintenance based on vibration analysis and deep learning — A case study of a drying press supported on a Hidden Markov Model
Martins, A., Fonseca, I., Farinha, J. T., Reis, J. & Cardoso, A. J. M., 1 Sept 2024, In: Applied Soft Computing. 163, p. 111885 1 p., 111885.Research output: Contribution to journal › Article › peer-review
Open Access29 Citations (Scopus)