Modified Label Propagation on Manifold With Applications to Fault Classification

Modified Label Propagation on Manifold With Applications to Fault Classification

In process monitoring, fault classification performance heavily relies on the labels of training data. However, the labeled data are inadequate and difficult to obtain because they require experienced human annotators. In this paper, a modified label propagation (MLP) method is proposed to propagate...

Full description

Bibliographic Details
Main Author: Ying Xie
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Modified label propagation
manifold learning
fault classification
semi-supervised learning
fisher discriminant analysis
Online Access:https://ieeexplore.ieee.org/document/9095308/

Internet

https://ieeexplore.ieee.org/document/9095308/

Similar Items