Discriminative Angle Feature Learning for Open-Set Deep Fault Classification

Discriminative Angle Feature Learning for Open-Set Deep Fault Classification

Unknown faults may occur in practical applications, necessitating an open-set classifier that can classify known classes as well as recognize unknown faults. The current deep open-set classification methods are implicit in optimizing the intra- or inter-class distances, which may result in performan...

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Bibliographic Details
Main Authors: Jie Mei, Wei Liu, Ming Zhu, Yongka Qi, Ming Fu, Yushi Li, Quan Yuan
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Classification algorithms
convolutional neural networks
deep learning
detection algorithms
fault diagnosis
feature extraction
Online Access:https://ieeexplore.ieee.org/document/10138887/

Internet

https://ieeexplore.ieee.org/document/10138887/

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