José Torres Farinha

Full Professor

Instituto Politécnico de Coimbra Instituto Superior de Engenharia de Coimbra

Portugal

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About

José Torres Farinha is a Full Professor at the Instituto Politécnico de Coimbra Instituto Superior de Engenharia de Coimbra, Portugal. His research interests encompass predictive maintenance, fault detection in industrial equipment, and optimization methodologies in various engineering applications. Recent articles include topics on AI-driven maintenance solutions, operational process improvements, and multi-objective genetic algorithms for forest management.

Articles (21)

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2025

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2022

Collaborators (12)

Luís Reis

Professor

Instituto Politécnico de Tomar

PORTUGAL

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Antonio J. Marques Cardoso

Full Professor

Universidade da Beira Interior

PORTUGAL

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Paulo Gomes

Polytechnic Higher Education Professor – Invited Assistant

PORTUGAL

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Hugo David Nogueira Raposo

Professor

Polytechnic Institute of Bragança

PORTUGAL

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Mateus Mendes

Adjunct Professor

Polytechnic Institute of Bragança

PORTUGAL

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Ana C V Vieira

Assistant Professor

Instituto Politécnico de Coimbra Instituto Superior de Engenharia de Coimbra

PORTUGAL

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Inácio de Sousa Adelino da Fonseca

Prof.Adjunto

Instituto Politécnico de Coimbra Instituto Superior de Engenharia de Coimbra

PORTUGAL

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Balduíno Mateus

Professor

Universidade Lusófona de Humanidades e Tecnologias

PORTUGAL

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João Carlos Gonçalves dos Reis

Assistant Professor

Universidade Lusófona

PORTUGAL

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Jorge Raposo

Professor

Instituto Politécnico de Tomar

PORTUGAL

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Ricardo Ferraz

Professor Auxiliar Convidado

Instituto Superior de Economia e Gestao

PORTUGAL

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Raúl Salas González

Professor

Instituto Politécnico de Coimbra Escola Superior de Educação de Coimbra

PORTUGAL

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José Torres Farinha

Research Interests

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About

Articles (21)

AI-Driven Belt Failure Prediction and Prescriptive Maintenance with Motor Current Signature Analysis

Optimizing Operational Processes in Bicycle Testing: A Case Study

Fault Detection and Prediction for Power Transformers Using Fuzzy Logic and Neural Networks

Prediction maintenance based on vibration analysis and deep learning — A case study of a drying press supported on a Hidden Markov Model

Reliability, Availability, and Maintainability Assessment-Based Sustainability-Informed Maintenance Optimization in Power Transmission Networks

Fault Detection and Prediction for a Wood Chip Screw Conveyor

Optimising Forest Management Using Multi-Objective Genetic Algorithms

Fault Detection in Industrial Equipment through Analysis of Time Series Stationarity

Study of the Condition of Forest Fire Fighting Vehicles

Online Monitoring of Sensor Calibration Status to Support Condition-Based Maintenance

Improved GRU prediction of paper pulp press variables using different pre-processing methods

Augmented Reality in Maintenance—History and Perspectives

Predicting the Health Status of a Pulp Press Based on Deep Neural Networks and Hidden Markov Models

The Economic Management of Physical Assets: The Practical Case of an Urban Passenger Transport Company in Portugal

An improved risk and reliability framework-based maintenance planning for food processing systems

ANÁLISE DO CUSTO DO CICLO DE VIDA DA ESTAÇÃO DE TRATAMENTO DE ÁGUA PARA PRODUÇÃO DE PLACAS DE GESSO

Pinus pinaster Diameter, Height, and Volume Estimation Using Mask-RCNN

Physical Asset Life Cycle Evaluation Models—A Comparative Analysis towards Sustainability

Measuring the Performance of a Strategic Asset Management Plan through a Balanced Scorecard

Forecasting Steel Production in the World—Assessments Based on Shallow and Deep Neural Networks

Automatic Risk Assessment for an Industrial Asset Using Unsupervised and Supervised Learning

Collaborators (12)

Luís Reis

Antonio J. Marques Cardoso

Paulo Gomes

Hugo David Nogueira Raposo

Mateus Mendes

Ana C V Vieira

Inácio de Sousa Adelino da Fonseca

Balduíno Mateus

João Carlos Gonçalves dos Reis

Jorge Raposo

Ricardo Ferraz

Raúl Salas González

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