Co-attention learning cross time and frequency domains for fault diagnosis

Rolling machinery is ubiquitous in power transmission and transformation equipment, but it suffers from severe faults during long-term running. Automatic fault diagnosis plays an important role in the production safety of power equipment. This paper proposes a novel cross-domain co-attention network...

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Bibliographic Details
Main Authors: Ping Luo, Xinsheng Zhang, Ran Meng
Format: Article
Language:English
Published: KeAi Communications Co. Ltd. 2023-01-01
Series:Cognitive Robotics
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2667241323000095