相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。Generative Adversarial Networks
Ian Goodfellow et al.
COMMUNICATIONS OF THE ACM (2020)
A New Deep Transfer Learning Based on Sparse Auto-Encoder for Fault Diagnosis
Long Wen et al.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS (2019)
Measurement Method for Resistive Current Components of Metal Oxide Surge Arrester in Service
Zhongjun Fu et al.
IEEE TRANSACTIONS ON POWER DELIVERY (2018)
Online Condition Monitoring of Surge Arresters Based on Third-Harmonic Analysis of Leakage Current
Ibrahim A. Metwally et al.
IEEE TRANSACTIONS ON DIELECTRICS AND ELECTRICAL INSULATION (2017)
A Decomposition Method for the Total Leakage Current of MOA Based on Multiple Linear Regression
Yongsen Han et al.
IEEE TRANSACTIONS ON POWER DELIVERY (2016)
Electrical-Thermal Failure of Metal-Oxide Arrester by Successive Impulses
S. T. Li et al.
IEEE TRANSACTIONS ON POWER DELIVERY (2016)
A Wireless System for Monitoring Leakage Current in Electrical Substation Equipment
N. Harid et al.
IEEE ACCESS (2016)
FAILURE ANALYSIS OF METAL OXIDE ARRESTERS UNDER HARMONIC DISTORTION
P. Bokoro et al.
SAIEE AFRICA RESEARCH JOURNAL (2016)
Effects of Continuous Operating Voltage Stress and AC Energy Injection on Current Sharing Among Parallel-Connected Metal-Oxide Resistor Columns in Arrester Banks
Maximilian Nikolaus Tuczek et al.
IEEE TRANSACTIONS ON POWER DELIVERY (2015)
Metal oxide surge arrester condition monitoring based on analysis of leakage current components
Masume Khodsuz et al.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS (2015)
Artificial Neural Networks Used for ZnO Arresters Diagnosis
E. T. Wanderley Neto et al.
IEEE TRANSACTIONS ON POWER DELIVERY (2009)
分享论文
