Partial Discharge Diagnostics: Data Cleaning and Feature Extraction

Partial Discharge Diagnostics: Data Cleaning and Feature Extraction

Detection of partial discharge (PD) in switchgears requires extensive data collection and time-consuming analyses. Data from real live operational environments pose great challenges in the development of robust and efficient detection algorithms due to overlapping PDs and the strong presence of rand...

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Bibliographic Details
Main Authors: Donny Soh, Sivaneasan Bala Krishnan, Jacob Abraham, Lai Kai Xian, Tseng King Jet, Jimmy Fu Yongyi
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:Energies
Subjects:
condition monitoring
partial discharge
PRPD
machine learning
denoising
feature extraction
Online Access:https://www.mdpi.com/1996-1073/15/2/508

Internet

https://www.mdpi.com/1996-1073/15/2/508

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