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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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 Access1 Citation (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 Access1 Citation (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., Sept 2024, In: Applied Soft Computing. 163, 111885.Research output: Contribution to journal › Article › peer-review
Open Access25 Citations (Scopus) -
Data Analysis for Predictive Maintenance Using Time Series and Deep Learning Models—A Case Study in a Pulp Paper Industry
Mateus, B., Mendes, M., Farinha, J. T., Martins, A. B. & Cardoso, A. M., 2023, Proceedings of IncoME-VI and TEPEN 2021 - Performance Engineering and Maintenance Engineering. Zhang, H., Feng, G., Wang, H., Gu, F. & Sinha, J. K. (eds.). Springer Science and Business Media B.V., p. 11-25 15 p. (Mechanisms and Machine Science; vol. 117).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
10 Citations (Scopus) -
Online Monitoring of Sensor Calibration Status to Support Condition-Based Maintenance
Martins, A., Fonseca, I., Farinha, J. T., Reis, J. & Cardoso, A. J. M., Mar 2023, In: Sensors. 23, 5, 2402.Research output: Contribution to journal › Article › peer-review
Open Access22 Citations (Scopus)