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Deep-Learning-Based Earth Fault Detection Using Continuous Wavelet Transform and Convolutional Neural Network in Resonant Grounding Distribution Systems

IEEE sensors journal, 2018-02, Vol.18 (3), p.1291-1300

2018

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Three‐phase feeder parameter estimation using radial basis function neural networks and multi‐run optimisation method with bad data preparation

IET generation, transmission & distribution, 2022-01, Vol.16 (2), p.351-363

2022

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Hydroelectric Generating Unit Fault Diagnosis Using 1-D Convolutional Neural Network and Gated Recurrent Unit in Small Hydro

IEEE sensors journal, 2019-10, Vol.19 (20), p.9352-9363

2019

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Hybrid flexible arc suppression device based on soft grid connection strategy for MV distribution systems

IET generation, transmission & distribution, 2021-09, Vol.15 (17), p.2499-2512

2021

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Advancing high impedance fault localization via adaptive transient process calibration and multiscale correlation analysis in active distribution networks

Measurement : journal of the International Measurement Confederation, 2024-04, Vol.229, p.114431, Article 114431

2024

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Fault section location in resonant grounding distribution systems based on feature subset optimization of phase current variation

International journal of circuit theory and applications, 2024-09, Vol.52 (9), p.4582-4599

2024

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Feature‐clustering‐based single‐line‐to‐ground fault section location using auto‐encoder and fuzzy C‐means clustering in resonant grounding distribution systems

IET generation, transmission & distribution, 2021-03, Vol.15 (5), p.938-949

2021

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FASD based on BSC method for distribution networks

IET generation, transmission & distribution, 2019-12, Vol.13 (24), p.5487-5494

2019

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Deep‐Belief‐Networks Based Fault Classification in Power Distribution Networks

IEEJ transactions on electrical and electronic engineering, 2020-10, Vol.15 (10), p.1428-1435

2020

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Discrete Wavelet Transform-Based Triggering Method for Single-Phase Earth Fault in Power Distribution Systems

IEEE transactions on power delivery, 2019-10, Vol.34 (5), p.2058-2068

2019

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Mechanical Faults Diagnosis of High-Voltage Circuit Breaker via Hybrid Features and Integrated Extreme Learning Machine

IEEE access, 2019, Vol.7, p.60091-60103

2019

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Distribution Feeder Parameter Estimation Without Synchronized Phasor Measurement by Using Radial Basis Function Neural Networks and Multi-Run Optimization Method

IEEE access, 2022, Vol.10, p.2869-2879

2022

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Model-Predictive-Control-Based Flexible Arc-Suppression Method for Earth Fault in Distribution Networks

IEEE access, 2019, Vol.7, p.16051-16065

2019

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Application of semantic segmentation in High-Impedance fault diagnosis combined signal envelope and Hilbert marginal spectrum for resonant distribution networks

Expert systems with applications, 2023-11, Vol.231, p.120631, Article 120631

2023

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Deep-Learning-Based Fault Classification Using Hilbert-Huang Transform and Convolutional Neural Network in Power Distribution Systems

IEEE sensors journal, 2019-08, Vol.19 (16), p.6905-6913

2019

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Location of Single-Line-to-Ground Fault Using 1-D Convolutional Neural Network and Waveform Concatenation in Resonant Grounding Distribution Systems

IEEE transactions on instrumentation and measurement, 2021, Vol.70, p.1-9

2021

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Single-phase flexible arc suppression device based on BSC-SOGI-PLL method for distribution networks

International journal of electrical power & energy systems, 2020-10, Vol.121, p.106100, Article 106100

2020

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Fault Phase Selection Method Based on Single-Phase Flexible Arc Suppression Device for Asymmetric Distribution Networks

IEEE transactions on power delivery, 2022-12, Vol.37 (6), p.4548-4558

2022

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Flexible arc-suppression method based on improved distributed commutations modulation for distribution networks

International journal of electrical power & energy systems, 2020-03, Vol.116, p.105580, Article 105580

2020

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Features-clustering-based earth fault detection using singular-value decomposition and fuzzy c-means in resonant grounding distribution systems

International journal of electrical power & energy systems, 2017-12, Vol.93, p.97-108

2017

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Explainable Deep Learning Approach for High Impedance Fault Localization in Resonant Distribution Networks Considering Quantization Noise

International journal of circuit theory and applications, 2024-09

2024

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High-impedance arc fault modeling for distribution networks based on dynamic geometry dimension

Electric power systems research, 2024-04, Vol.229, p.110109, Article 110109

2024

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A novel method of insulation parameters measurement based on hybrid flexible arc suppression device in distribution networks

International journal of electrical power & energy systems, 2021-09, Vol.130, p.106982, Article 106982

2021

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Fault Current Limitation with Energy Recovery Based on Power Electronics in Hybrid AC-DC Active Distribution Networks

IEEE transactions on power electronics, 2023-10, Vol.38 (10), p.1-13

2023

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Internal Overvoltage Identification of Distribution Network via Time-Frequency Atomic Decomposition

IEEE access, 2019, Vol.7, p.85110-85122

2019

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Deep-Learning-Based Earth Fault Detection Using Continuous Wavelet Transform and Convolutional Neural Network in Resonant Grounding Distribution Systems

Three‐phase feeder parameter estimation using radial basis function neural networks and multi‐run optimisation method with bad data preparation

Hydroelectric Generating Unit Fault Diagnosis Using 1-D Convolutional Neural Network and Gated Recurrent Unit in Small Hydro

Hybrid flexible arc suppression device based on soft grid connection strategy for MV distribution systems

Advancing high impedance fault localization via adaptive transient process calibration and multiscale correlation analysis in active distribution networks

Fault section location in resonant grounding distribution systems based on feature subset optimization of phase current variation

Feature‐clustering‐based single‐line‐to‐ground fault section location using auto‐encoder and fuzzy C‐means clustering in resonant grounding distribution systems

FASD based on BSC method for distribution networks

Deep‐Belief‐Networks Based Fault Classification in Power Distribution Networks

Discrete Wavelet Transform-Based Triggering Method for Single-Phase Earth Fault in Power Distribution Systems

Mechanical Faults Diagnosis of High-Voltage Circuit Breaker via Hybrid Features and Integrated Extreme Learning Machine

Distribution Feeder Parameter Estimation Without Synchronized Phasor Measurement by Using Radial Basis Function Neural Networks and Multi-Run Optimization Method

Model-Predictive-Control-Based Flexible Arc-Suppression Method for Earth Fault in Distribution Networks

Application of semantic segmentation in High-Impedance fault diagnosis combined signal envelope and Hilbert marginal spectrum for resonant distribution networks

Deep-Learning-Based Fault Classification Using Hilbert-Huang Transform and Convolutional Neural Network in Power Distribution Systems

Location of Single-Line-to-Ground Fault Using 1-D Convolutional Neural Network and Waveform Concatenation in Resonant Grounding Distribution Systems

Single-phase flexible arc suppression device based on BSC-SOGI-PLL method for distribution networks

Fault Phase Selection Method Based on Single-Phase Flexible Arc Suppression Device for Asymmetric Distribution Networks

Flexible arc-suppression method based on improved distributed commutations modulation for distribution networks

Features-clustering-based earth fault detection using singular-value decomposition and fuzzy c-means in resonant grounding distribution systems

Explainable Deep Learning Approach for High Impedance Fault Localization in Resonant Distribution Networks Considering Quantization Noise

High-impedance arc fault modeling for distribution networks based on dynamic geometry dimension

A novel method of insulation parameters measurement based on hybrid flexible arc suppression device in distribution networks

Fault Current Limitation with Energy Recovery Based on Power Electronics in Hybrid AC-DC Active Distribution Networks

Internal Overvoltage Identification of Distribution Network via Time-Frequency Atomic Decomposition

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