Jie Gao
Orcid: 0000-0001-9501-7603Affiliations:
- Shanghai University of Electric Power, College of Automation Engineering, China
- Henan Polytechnic University, School of Electrical Engineering and Automation, Jiaozuo, China (former)
According to our database1,
Jie Gao
authored at least 13 papers
between 2014 and 2024.
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Bibliography
2024
A Denoising Method for Cable Partial Discharge Signals Based on Image Information Entropy and Multivariate Variational Mode Decomposition.
IEEE Trans. Instrum. Meas., 2024
An Interruption Overvoltage Estimation Method With Improved Swarm Intelligence Algorithm for Modular DC Circuit Breakers.
IEEE Trans. Instrum. Meas., 2024
2023
Faulty Feeder Detection Under High Impedance Faults for Resonant Grounding Distribution Systems.
IEEE Trans. Smart Grid, May, 2023
Faulty Feeder Identification Method Considering Inverter Transformer Effects in Converter Dominated Distribution Network.
IEEE Trans. Smart Grid, March, 2023
2022
A High-Impedance Fault Detection Method for Distribution Systems Based on Empirical Wavelet Transform and Differential Faulty Energy.
IEEE Trans. Smart Grid, 2022
A Breaker Failure Detection Method Based on Nonlinear Parameter Estimation for Modular Hybrid DC Circuit Breakers.
IEEE Trans. Instrum. Meas., 2022
2021
Faulty Feeder Detection Based on Fundamental Component Shift and Multiple-Transient-Feature Fusion in Distribution Networks.
IEEE Trans. Smart Grid, 2021
2019
High Impedance Fault Detection Method Based on Variational Mode Decomposition and Teager-Kaiser Energy Operators for Distribution Network.
IEEE Trans. Smart Grid, 2019
2018
An adaptive fault detection method based on atom sparse and evidence fusion for the small current to ground system.
Trans. Inst. Meas. Control, 2018
Faulty Line Detection Method Based on Optimized Bistable System for Distribution Network.
IEEE Trans. Ind. Informatics, 2018
2016
Faulty Line Selection Method for Distribution Network Based on Variable Scale Bistable System.
J. Sensors, 2016
2015
Fault Line Selection Method of Small Current to Ground System Based on Atomic Sparse Decomposition and Extreme Learning Machine.
J. Sensors, 2015
2014
Stepped Fault Line Selection Method Based on Spectral Kurtosis and Relative Energy Entropy of Small Current to Ground System.
J. Appl. Math., 2014