Severity Estimation for Interturn Short-Circuit and Demagnetization Faults through Self-Attention Network

Severity Estimation for Interturn Short-Circuit and Demagnetization Faults through Self-Attention Network

This study presents a novel interturn short-circuit fault (ISCF) and demagnetization fault (DF) diagnosis strategy based on a self-attention-based severity estimation network (SASEN). We analyze the effects of the ISCF and DF in a permanent-magnet synchronous machine and select appropriate inputs fo...

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Bibliographic Details
Main Authors: Hojin Lee, Hyeyun Jeong, Seongyun Kim, Sang Woo Kim
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Sensors
Subjects:
deep learning
demagnetization fault
fault diagnosis
interturn short-circuit fault
permanent-magnet synchronous machine
self-attention
Online Access:https://www.mdpi.com/1424-8220/22/12/4639

Internet

https://www.mdpi.com/1424-8220/22/12/4639

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