Systematic Feature and Method Selection for Two-Phase Flow Classification Using Multi-Wavelength NIR Sensors
Accurate classification of two-phase gas-liquid flows is critical for the optimization and safety of industrial processes. This work presents the Multi-Feature Multi-Domain (MFMD) methodology, a systematic framework for flow pattern classification in
Authors
- Thiago Martins (ORCID: https://orcid.org/0000-0002-3655-2777)
- Anderson Wedderhoff Spengler (ORCID: https://orcid.org/0000-0001-5204-2040)
- Kleber Vieira de Paiva (ORCID: https://orcid.org/0000-0003-4126-8778)
- João Paulo Bedretchuk (ORCID: https://orcid.org/0000-0002-5646-8847)
- Victor Noster Kürschner
- Jorge Luiz
- Raphael D Comesanha
Institutions
- Universidade Federal de Santa Catarina (BR)
- Instituto Federal de Educação, Ciência e Tecnologia de Santa Catarina (BR)
Publication Details
- Published
- 2025-09-24
- DOI
- https://doi.org/10.22541/au.175873362.20709872/v1
- Primary Topic
- Flow Measurement and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
- Conselho Nacional de Desenvolvimento Científico e Tecnológico
- Fundação de Amparo à Pesquisa e Inovação do Estado de Santa Catarina