The pattern recognition of multisource partial discharge in transformers based on parallel feature domain
Abstract The traditional diagnosis methods for the multisource partial discharge in transformer have several problems, such as the poor effect of signal separation, the inaccuracy of the extracted signal features and the over fitting of the neural network algorithm used for pattern recognition. In o...
Main Authors: | Yanchun Xu, Haiting Xia, Shasha Xie, Mi Lu |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2021-03-01
|
Series: | IET Science, Measurement & Technology |
Online Access: | https://doi.org/10.1049/smt2.12018 |
Similar Items
-
Partial Discharge Measurement and Pattern Recognition of Transformers
by: Ming-Chang Tsou, et al.
Published: (2006) -
Pattern Recognition of Partial Discharges for Experimental Potential Transformers
by: Cheng Meei-Maan, et al.
Published: (2005) -
Research of the Partial Discharge Pattern Recognition of Resin Cast Current Transformers
by: Ying-piao Kuo, et al.
Published: (2011) -
Study on the Frequency Spectrum and Time Domain Patterns Recognition for Partial Discharge Detection
by: Wei-En Chou, et al.
Published: (2013) -
Partial Discharge Pattern Recognition of Transformers Based on MobileNets Convolutional Neural Network
by: Yuanyuan Sun, et al.
Published: (2021-07-01)