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ORCIDJosé Torres Farinha
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2020 – today
- 2024
[j7]Alexandre Martins
, Inácio Fonseca, José Torres Farinha, João Reis, António J. Marques Cardoso:
Prediction maintenance based on vibration analysis and deep learning - A case study of a drying press supported on a Hidden Markov Model. Appl. Soft Comput. 163: 111885 (2024)- 2023
- [j6]Ana Malta, José Torres Farinha, Mateus Mendes:
Augmented Reality in Maintenance - History and Perspectives. J. Imaging 9(7): 142 (2023) - [j5]Alexandre Martins, Inácio Fonseca, José Torres Farinha, João Reis, António J. Marques Cardoso:
Online Monitoring of Sensor Calibration Status to Support Condition-Based Maintenance. Sensors 23(5): 2402 (2023) - 2021
- [j4]Hamzeh Soltanali, Abbas Rohani, Mohammad Hossein Abbaspour-Fard, José Torres Farinha:
A comparative study of statistical and soft computing techniques for reliability prediction of automotive manufacturing. Appl. Soft Comput. 98: 106738 (2021) - 2020
- [j3]Hamzeh Soltanali, Abbas Rohani, Mohammad Hossein Abbaspour-Fard, Aditya Parida, José Torres Farinha:
Development of a risk-based maintenance decision making approach for automotive production line. Int. J. Syst. Assur. Eng. Manag. 11(1): 236-251 (2020)
2010 – 2019
- 2018
- [j2]Hugo Raposo, José Torres Farinha, Luís Ferreira, Diego Galar:
Dimensioning reserve bus fleet using life cycle cost models and condition based/predictive maintenance: a case study. Public Transp. 10(1): 169-190 (2018) - 2017
- [j1]António Simões, José Manuel Viegas, José Torres Farinha, Inácio Fonseca:
The State of the Art of Hidden Markov Models for Predictive Maintenance of Diesel Engines. Qual. Reliab. Eng. Int. 33(8): 2765-2779 (2017)
2000 – 2009
- 2007
- [c1]Viriato M. Marques, José Torres Farinha, António C. Brito, Nelson L. Pincho:
Know-How Retention and Divulgation with a Fuzzy CBR System. ISDA 2007: 223-230
Coauthor Index
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