LSTM Neural Networks With Attention Mechanisms for Accelerated Prediction of Charge Density at Onset Condition of DC Corona Discharge

LSTM Neural Networks With Attention Mechanisms for Accelerated Prediction of Charge Density at Onset Condition of DC Corona Discharge

The onset process of corona discharge is naturally nonlinear and dynamic. The conventionally physical-based onset model and numerical computation of onset charge distribution are hampered by the computational power and given time. Here, in order to efficiently model this highly nonlinear dynamic pro...

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Bibliographic Details
Main Authors: Yong Yi, Zhengying Chen, Rui Li
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Neural networks
charge density
corona discharge
onset condition
prediction model
LSTM
Online Access:https://ieeexplore.ieee.org/document/9950494/

Internet

https://ieeexplore.ieee.org/document/9950494/

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