FMEA based prescriptive model for equipment repair guidance
The models are assessed based on their capacity to predict repair actions, with particular emphasis on the impact of time-series processing and model architecture on classification accuracy. The findings highlight effective strategies for predicting machine repairs and advancing prescriptive maintenance in manufacturing environments.
Authors
- Miguel A. Brito (ORCID: https://orcid.org/0000-0003-4235-9700)
- Domingos F. Oliveira (ORCID: https://orcid.org/0000-0002-2890-0655)
- Daniel Schlottfeldt Brandão
Institutions
- Technical University of Angola (AO)
- University of Minho (PT)
Publication Details
- Journal
- Frontiers in Artificial Intelligence
- Published
- 2025-10-30
- DOI
- https://doi.org/10.3389/frai.2025.1630907
- Primary Topic
- Machine Fault Diagnosis Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Fundação para a Ciência e a Tecnologia