Pattern Recognition of Partial Discharge Based on VMD-CWD Spectrum and Optimized CNN With Cross-Layer Feature Fusion

Pattern Recognition of Partial Discharge Based on VMD-CWD Spectrum and Optimized CNN With Cross-Layer Feature Fusion

In order to improve the recognition accuracy of partial discharge (PD) by making full use of the time-frequency characteristics of PD signals and employing deep learning theory, a kind of PD pattern recognition method based on variational mode decomposition (VMD)-Choi-Williams distribution (CWD) spe...

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Bibliographic Details
Main Authors: Angran Gao, Yongli Zhu, Weihao Cai, Yi Zhang
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Variational mode decomposition (VMD)
Choi-Williams distribution (CWD)
feature fusion
convolutional neural network (CNN)
partial discharge
pattern recognition
Online Access:https://ieeexplore.ieee.org/document/9169652/

Internet

https://ieeexplore.ieee.org/document/9169652/

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