Pattern Recognition of DC Partial Discharge on XLPE Cable Based on ADAM-DBN

Pattern Recognition of DC Partial Discharge on XLPE Cable Based on ADAM-DBN

Pattern recognition of DC partial discharge (PD) receives plenty of attention and recent researches mainly focus on the static characteristics of PD signals. In order to improve the recognition accuracy of DC cable and extract information from PD waveforms, a modified deep belief network (DBN) super...

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Bibliographic Details
Main Authors: Zhe Li, Yongpeng Xu, Xiuchen Jiang
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Energies
Subjects:
DC cross linked polyethylene (XLPE) cable
partial discharge (PD)
restricted Boltzmann machines (RBM)
deep belief network (DBN)
adaptive moment estimation (ADAM)
Online Access:https://www.mdpi.com/1996-1073/13/17/4566

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https://www.mdpi.com/1996-1073/13/17/4566

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