A fault prediction framework for Doubly‐fed induction generator under time‐varying operating conditions driven by digital twin

A fault prediction framework for Doubly‐fed induction generator under time‐varying operating conditions driven by digital twin

Abstract Accurate status prediction is critical for detecting potential failures of Doubly‐fed induction generator (DFIG). A unique Digital Twin (DT) fault prediction paradigm is put forth in this research, which uses an edge intelligence paradigm to ensure high‐performance fault prediction. Edge‐ba...

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Bibliographic Details
Main Authors: Junyan Ma, Yiping Yuan, Pan Chen
Format: Article
Language:English
Published: Wiley 2023-04-01
Series:IET Electric Power Applications
Subjects:
condition monitoring
data analysis
decision making
electric generators
failure analysis
health and safety
Online Access:https://doi.org/10.1049/elp2.12280

Internet

https://doi.org/10.1049/elp2.12280

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