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Docente
Alexandre Martins

Alexandre Martins
p59***@ulusofona.pt
1818-2BD6-9240
0000-0001-9947-0894

Resume

Alexandre D. B. Martins has a background in Mechanical Engineering and completed a master degree in Industrial Engineering and Management, where he had the opportunity to deepen and acquire extensive knowledge in Industrial Engineering. Currently, he is Ph.D. in the same field, focusing on metrology and artificial intelligence tools as support for condition maintenance and asset management. On a professional level, Alexandre works at Lusófona University as a teacher and researcher, being a member of the RCM2+ - Research Center for Asset Management and Systems Engineering and the CISE - Electromechatronic Systems Research Center.

Graus

  • Licenciatura
    Mechanical Engineering
  • Mestrado
    Industrial Engineering and Management
  • Doutoramento
    Industrial Engineering and Management

Publicações

Journal article

  • 2023-03-11, Predicting the Health Status of a Pulp Press Based on Deep Neural Networks and Hidden Markov Models, Energies
  • 2023-02-21, Online Monitoring of Sensor Calibration Status to Support Condition-Based Maintenance, Sensors
  • 2022-12-12, Automatic Risk Assessment for an Industrial Asset Using Unsupervised and Supervised Learning, Energies
  • 2021-08, Maintenance Prediction through Sensing Using Hidden Markov Models—A Case Study, Applied Sciences
  • 2020-09-17, Calibration and Certification of Industrial Sensors – a Global Review, WSEAS TRANSACTIONS ON SYSTEMS AND CONTROL

Book chapter

  • 2022, Data Analysis for Predictive Maintenance Using Time Series and Deep Learning Models—A Case Study in a Pulp Paper Industry, Springer International Publishing

Conference paper

  • 2021-11, Previsão e Diagnóstico de Avarias de uma Prensa Industrial, com Análise FMECA e Redes Neuronais, 16º Congresso Nacional de Manutenção - APMI, Novembro.
  • 2021-11, Monitorização online para diagnóstico do estado de equipamentos através de Modelos Ocultos de Markov, 16º Congresso Nacional de Manutenção - APMI
  • 2021-10, Data Analysis for Predictive Maintenance Using Time Series and Deep Learning Models – A Case Study in a Pulp Paper Industry, TEPEN 2021 & IncoME-VI
  • 2019-11, Laboratório de Metrologia no apoio à Manutenção de Condição, 15º Congresso Nacional de Manutenção
  • 2019-11, Análise Multivariada de Óleos Lubrificantes, 15º Congresso Nacional de Manutenção - APMI

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