Composite Insulator Defect Identification Method Based on Acoustic–Electric Feature Fusion and MMSAE Network

Composite Insulator Defect Identification Method Based on Acoustic–Electric Feature Fusion and MMSAE Network

Aiming to solve the partial discharge problem caused by defects in composite insulators, most existing live detection methods are limited by the subjectivity of human judgment, the difficulty of effective quantification, and the use of a single detection method. Therefore, a composite insulator defe...

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Bibliographic Details
Main Authors: Bizhen Zhang, Shengwen Shu, Cheng Chen, Xiaojie Wang, Jun Xu, Chaoying Fang
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Energies
Subjects:
composite insulator
defect identification
deep learning
feature fusion
electromagnetic wave spectrum
ultrasonic
Online Access:https://www.mdpi.com/1996-1073/16/13/4906

Internet

https://www.mdpi.com/1996-1073/16/13/4906

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