Gehao Sheng

Orcid: 0000-0002-9454-5284

According to our database1, Gehao Sheng authored at least 25 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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On csauthors.net:

Bibliography

2024
Subsystem Measurement-Based Condition Assessment for Power Transformers via Joint Inference of Data and Knowledge.
IEEE Trans. Instrum. Meas., 2024

2023
PD Signal Detection Model Based on Multiscale Simulation of EM Generation and Transmission.
IEEE Trans. Instrum. Meas., 2023

2022
Information on structure and dimensions of an ONAN transformer.
Dataset, November, 2022

Application of a Partial Discharge Diagnosis Method Based on the Novel Multispectral Array Sensor and GMM in Different Insulating Gases.
IEEE Trans. Instrum. Meas., 2022

2021
Predicting Weather-Related Failure Risk in Distribution Systems Using Bayesian Neural Network.
IEEE Trans. Smart Grid, 2021

A RSSI-AOA-Based UHF Partial Discharge Localization Method Using MUSIC Algorithm.
IEEE Trans. Instrum. Meas., 2021

A Novel Optical Localization Method for Partial Discharge Source Using ANFIS Virtual Sensors and Simulation Fingerprint in GIL.
IEEE Trans. Instrum. Meas., 2021

Event Occurrence Model for Power Distribution System Based on Data Eigenvalue Behavior Analytic.
CoRR, 2021

2018
A Novel Association Rule Mining Method of Big Data for Power Transformers State Parameters Based on Probabilistic Graph Model.
IEEE Trans. Smart Grid, 2018

Big Data Modeling and Analysis for Power Transmission Equipment: A Novel Random Matrix Theoretical Approach.
IEEE Access, 2018

Research on Distribution Network Fault Recognition Method Based on Time-Frequency Characteristics of Fault Waveforms.
IEEE Access, 2018

A Convolutional Auto-Encoder Method for Anomaly Detection on System Logs.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

Prediction system for dynamic transmission line load capacity based on PCA and online sequential extreme learning machine.
Proceedings of the IEEE International Conference on Industrial Technology, 2018

Fault diagnosis of transformer based on KPCA and Elman neural network.
Proceedings of the IEEE International Conference on Industrial Technology, 2018

2017
An Integrated Data Preprocessing Framework Based on Apache Spark for Fault Diagnosis of Power Grid Equipment.
J. Signal Process. Syst., 2017

A Novel Partial Discharge Localization Method in Substation Based on a Wireless UHF Sensor Array.
Sensors, 2017

Partial Discharge Detection and Recognition in Random Matrix Theory Paradigm.
IEEE Access, 2017

Reproduction Methodology for Single Phase-to-Ground Faults in Overhead Transmission Lines.
IEEE Access, 2017

Cleaning Method for Status Monitoring Data of Power Equipment Based on Stacked Denoising Autoencoders.
IEEE Access, 2017

2016
A Novel Transient Fault Current Sensor Based on the PCB Rogowski Coil for Overhead Transmission Lines.
Sensors, 2016

Identification of Lightning Strike on 500-kV Transmission Line Based on the Time-Domain Parameters of a Traveling Wave.
IEEE Access, 2016

Framework of Random Matrix Theory for Power System Data Mining in a Non-Gaussian Environment.
IEEE Access, 2016

Energy Estimation of Partial Discharge Pulse Signals Based on Noise Parameters.
IEEE Access, 2016

2015
An Improved Machine Learning Scheme for Data-Driven Fault Diagnosis of Power Grid Equipment.
Proceedings of the 17th IEEE International Conference on High Performance Computing and Communications, 2015

Improving Power Grid Monitoring Data Quality: An Efficient Machine Learning Framework for Missing Data Prediction.
Proceedings of the 17th IEEE International Conference on High Performance Computing and Communications, 2015


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