Classification of Superimposed Partial Discharge Patterns
Phase resolved partial discharge patterns (PRPD) are routinely used to assess the condition of power transformers. In the past, classification systems have been developed in order to automate the fault identification task. Most of those systems work with the assumption that only one source is active...
Main Authors: | Benjamin Adam, Stefan Tenbohlen |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-04-01
|
Series: | Energies |
Subjects: | |
Online Access: | https://www.mdpi.com/1996-1073/14/8/2144 |
Similar Items
-
Study of the Influence of Winding and Sensor Design on Ultra-High Frequency Partial Discharge Signals in Power Transformers
by: Chandra Prakash Beura, et al.
Published: (2020-09-01) -
Artificial Neural Network Application for Partial Discharge Recognition: Survey and Future Directions
by: Abdullahi Abubakar Mas’ud, et al.
Published: (2016-07-01) -
Separation and Classification of Partial Discharge Sources in Substations
by: João Victor Jales Melo, et al.
Published: (2024-08-01) -
Partial Discharge Pattern Recognition of Transformers Based on MobileNets Convolutional Neural Network
by: Yuanyuan Sun, et al.
Published: (2021-07-01) -
Development of Hankel Singular-Hypergraph Feature Extraction Technique for Acoustic Partial Discharge Pattern Classification
by: Suganya Govindarajan, et al.
Published: (2021-03-01)