Identification of Partial Discharge Sources by Feature Extraction from a Signal Conditioning System

Identification of Partial Discharge Sources by Feature Extraction from a Signal Conditioning System

This paper addresses the critical challenge of detecting, separating, and classifying partial discharges in substations. It proposes two solutions: the first involves developing a signal conditioning system to reduce the sampling requirements for PD detection and increase the signal-to-noise ratio....

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Bibliographic Details
Main Authors: Itaiara Felix Carvalho, Edson Guedes da Costa, Luiz Augusto Medeiros Martins Nobrega, Allan David da Costa Silva
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Sensors
Subjects:
signal conditioning system
partial discharge
classification of partial discharges
Online Access:https://www.mdpi.com/1424-8220/24/7/2226

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