A novel adversarial transfer learning in deep convolutional neural network for intelligent diagnosis of gas‐insulated switchgear insulation defect

A novel adversarial transfer learning in deep convolutional neural network for intelligent diagnosis of gas‐insulated switchgear insulation defect

Abstract Recently, numerous data‐driven fault diagnosis methods have been developed, and the tasks involving the same distribution of training and test data have been well solved. However, considering the particularity of gas‐insulated switchgear (GIS), collecting massive data, especially with the s...

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Bibliographic Details
Main Authors: Yanxin Wang, Jing Yan, Qianzhen Jing, Zhenkang Qi, Jianhua Wang, Yingsan Geng
Format: Article
Language:English
Published: Wiley 2021-12-01
Series:IET Generation, Transmission & Distribution
Subjects:
Optimisation techniques
Interpolation and function approximation (numerical analysis)
Switchgear
Power engineering computing
Online Access:https://doi.org/10.1049/gtd2.12255

Internet

https://doi.org/10.1049/gtd2.12255

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