Teacher
Balduino Mateus

Resume

Balduíno Patrício César Mateus holds a degree in Electromechanics, an MSc in Industrial Management Engineering and an MSc in Electrical Engineering from Coimbra Institute of Engineering (ISEC), Portugal, and a PhD in Industrial Management Engineering from the University of Beira Interior. His main research interests are in the area of production optimization through Artificial Supported Condition Maintenance Policies (Artificial Intelligence Supported on Condition Maintenance Policies). Balduíno Mateus is a teacher at ISEC and currently works at the Lusófona University of Lusófona, as a teacher and researcher. He also is a member of two prestigious research centres: CISE - Electromechatronic Systems Research Centre and RCM2+ - Research Centre for Asset Management and Systems Engineering.

Graus

• Curso de Especialização Tecnológica
  CET-Curso de Especialização Tecnológica(Nível V)
• Licenciatura
  Engenharia Eletromecânica
• Mestrado
  Engenharia e Gestão Industrial
• Doutoramento
  Engenharia e Gestão Industrial
• Mestrado
  Engenharia Electrotécnica

Publicações

Journal article

• 2024-01-07, Fault Detection and Prediction for Power Transformers Using Fuzzy Logic and Neural Networks, Energies
• 2023-12-31, Improved GRU prediction of paper pulp press variables using different pre-processing methods, Production & Manufacturing Research
• 2023-03-11, Predicting the Health Status of a Pulp Press Based on Deep Neural Networks and Hidden Markov Models, Energies
• 2023, Forecasting Steel Production in the World—Assessments Based on Shallow and Deep Neural Networks, Applied Sciences
• 2021-10, Comparing LSTM and GRU Models to Predict the Condition of a Pulp Paper Press, Energies
• 2021-06-30, Anticipating Future Behavior of an Industrial Press Using LSTM Networks, Applied Sciences
• 2020-08-17, Production Optimization versus Asset Availability – a Review, WSEAS TRANSACTIONS ON SYSTEMS AND CONTROL

Conference paper

• Previsão Multivariada De Uma Prensa Industrial Usando Rede Neural Recorrente GRU, Congresso Nacional de Manutenção, CONGREGA
• 2021-11-24, Previsão Multivariada De Uma Prensa Industrial Usando Rede Neural Recorrente GRU, Congresso Nacional de Manutenção
• 2021-11-22, Revisão e Diagnóstico de Avarias de uma Prensa Industrial, com Análise FMECA e Redes Neuronais, Congresso Nacional de Manutenção.
• 2021-10-23, Data Analysis for Predictive Maintenance Using Time Series and Deep Learning Models – A Case Study in a Pulp Paper Industry., TEPEN 2021 & IncoME-VI.
• 2019-11-22, Previsão da produção de aço na Alemanha - Uma abordagem através de séries temporais, com extrapolação para a manutenção industrial. , 15.º Congresso Nacional de Manutenção