Research on Power Device Fault Prediction of Rod Control Power Cabinet Based on Improved Dung Beetle Optimization–Temporal Convolutional Network Transfer Learning Model

Research on Power Device Fault Prediction of Rod Control Power Cabinet Based on Improved Dung Beetle Optimization–Temporal Convolutional Network Transfer Learning Model

In order to improve the reliability and maintainability of rod control power cabinets in nuclear power plants, this paper uses insulated gate bipolar transistors (IGBTs), the key power device of rod control power cabinets, as the object of research on cross-working-condition fault prediction. An imp...

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Bibliographic Details
Main Authors: Liqi Ye, Zhi Chen, Jie Liu, Chao Lin, Yifan Jian
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Energies
Subjects:
temporal convolutional network
transfer learning
dung beetle optimization algorithm
power device
fault prediction
Online Access:https://www.mdpi.com/1996-1073/17/2/447

Internet

https://www.mdpi.com/1996-1073/17/2/447

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