Partial Discharge Signal Denoising Algorithm Based on Aquila Optimizer–Variational Mode Decomposition and K-Singular Value Decomposition

Partial Discharge Signal Denoising Algorithm Based on Aquila Optimizer–Variational Mode Decomposition and K-Singular Value Decomposition

Partial discharge (PD) is a primary factor leading to the deterioration of insulation in electrical equipment. However, it is hard for traditional methods to precisely extract PD signals in increasingly complex engineering environments. This paper proposes a new PD signal denoising method combining...

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Bibliographic Details
Main Authors: Jun Zhong, Zhenyu Liu, Xiaowen Bi
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Applied Sciences
Subjects:
partial discharge
AO
VMD
sparse decomposition
K-SVD
kurtosis
Online Access:https://www.mdpi.com/2076-3417/14/7/2755

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