Discharge Identification for SF6 Gas-Insulated System Applying Multi-Physical Information Fusion
Author:
Affiliation:
1. Xi’an Jiaotong University,State Key Laboratory of Electrical Insulation for Power Equipment,Xi’an,China,710049
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9985012/9985245/09985282.pdf?arnumber=9985282
Reference12 articles.
1. Deep Ensemble Model for Unknown Partial Discharge Diagnosis in Gas-Insulated Switchgears Using Convolutional Neural Networks
2. Partial Discharge Detection Framework Employing Spectral Analysis of Horizontal Visibility Graph
3. A Comparison of Partial Discharge Sensors for Natural Gas Insulated High Voltage Equipment
4. Multispectral Optical Partial Discharge Detection, Recognition, and Assessment
5. Identification of ultra‐high‐frequency PD signals in gas‐insulated switchgear based on moment features considering electromagnetic mode
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