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Published in 2025 at "IEEE Access"
DOI: 10.1109/access.2025.3633702
Abstract: Multiclass fault classification in complex processes is challenging due to many classes, nonlinear dynamics, overlapping fault signatures, and expanding fault taxonomies. Traditional machine learning models often struggle in such settings. The goal of this paper…
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Keywords:
fault;
fault classification;
multiclass fault;
machine learning ... See more keywords