An Intelligent Recognition Method of Partial Discharge of Power Cables Based on Data Augmentation
Author:
Affiliation:
1. Tsinghua University, Shenzhen International Graduate School,Shenzhen,China
2. Guangzhou Power Grid Corporation,Guangzhou,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10165685/10164836/10167245.pdf?arnumber=10167245
Reference9 articles.
1. Deep neural networks for understanding and diagnosing partial discharge data
2. Partial Discharge Pattern Recognition of Cables Considering Attenuation of Damped AC Voltages[J];jin;High Voltage,2021
3. Partial discharge recognition with a multi-resolution convolutional neural network[J];gaoyang;SENSORS,2018
4. Partial discharge pattern analysis using PCA and back-propagation artificial neural network for the estimation of size and position of metallic particle adhering to spacer in GIS
5. Partial Discharge Analysis using PCA and SOM
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