Incorporate active learning to semi-supervised industrial fault classification
Incorporate active learning to semi-supervised industrial fault classification is a scholarly work, published in 2019 in ''Journal of Process Control''. The main subjects of the publication include comminution, fault, computer science, artificial intelligence, fault detection and isolation, machine learning, and active learning. To improve the methods' applicability, this paper proposes an active learning based semi-supervised FDA model for industrial fault classification.