Time series extrinsic regression for reconstructing missing electron temperature in tokamak

Time series extrinsic regression for reconstructing missing electron temperature in tokamak

The integrity of tokamak plasma diagnostic data is critical for physics research and the development of experimental fusion device. Sensor failures, data acquisition errors, or limitations in diagnostic systems (e.g. absent electron temperature diagnostic) pose significant challenges for experimenta...

Full description

Saved in:
Bibliographic Details
Main Authors: Minglong Wang, Chenguang Wan, Jingjing Lu, Zhi Yu, Bingjia Xiao, Yanlong Li, Xiaoxue He, Zhengping Luo, Qiping Yuan, Yemin Hu, Jiangang Li
Format: Article
Language:English
Published: IOP Publishing 2025-01-01
Series:Nuclear Fusion
Subjects:
tokamak
diagnostic data
machine learning
time series extrinsic regression submitted
Online Access:https://doi.org/10.1088/1741-4326/addb5f
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1088/1741-4326/addb5f

Similar Items