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Recurrent Neural Network for Partial Discharge Diagnosis in Gas-Insulated Switchgear

https://doi.org/10.3390/en11051202
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/bf00994018openalex-snapshot
Support-Vector Networks
inferredcites →https://doi.org/10.1016/j.eswa.2016.02.014openalex-snapshot
Multiple partial discharge source discrimination with multiclass support vector machines
inferredcites →https://doi.org/10.1038/nature14539openalex-snapshot
Deep learning
inferredcites →https://doi.org/10.1049/iet-smt.2015.0171openalex-snapshot
Classification and separation of partial discharge ultra‐high‐frequency signals in a 252 kV gas insulated substation by using cumulative energy technique
inferredcites →https://doi.org/10.1049/iet-smt.2016.0255openalex-snapshot
Feature extraction of GIS partial discharge signal based on S‐transform and singular value decomposition
inferredcites →https://doi.org/10.1049/ip-a-3.1993.0057openalex-snapshot
Acoustic monitoring of partial discharges in gas insulated substations using optical sensors
inferredcites →https://doi.org/10.1109/61.686974openalex-snapshot
The application of ultra-high-frequency partial discharge measurements to gas-insulated substations
inferredcites →https://doi.org/10.1109/94.486773openalex-snapshot
The excitation of UHF signals by partial discharges in GIS
inferredcites →https://doi.org/10.1109/icassp.2013.6638947openalex-snapshot
Speech recognition with deep recurrent neural networks
inferredcites →https://doi.org/10.1109/icassp.2015.7178831openalex-snapshot
Data augmentation for deep convolutional neural network acoustic modeling
inferredcites →https://doi.org/10.1109/lawp.2016.2609916openalex-snapshot
UHF Moore Fractal Antennas for Online GIS PD Detection
inferredcites →https://doi.org/10.1109/mei.2005.1412214openalex-snapshot
Partial discharge monitoring of power transformers using UHF sensors. Part I: sensors and signal interpretation
inferredcites →https://doi.org/10.1109/mei.2007.4318269openalex-snapshot
Dissolved gas analysis of alternative fluids for power transformers
inferredcites →https://doi.org/10.1109/mei.2015.7303259openalex-snapshot
An overview of state-of-the-art partial discharge analysis techniques for condition monitoring
inferredcites →https://doi.org/10.1109/tdei.2008.4712660openalex-snapshot
Detection and location of partial discharges in power transformers using acoustic and electromagnetic signals
inferredcites →https://doi.org/10.1109/tdei.2009.4784568openalex-snapshot
Propagation characteristics of electromagnetic waves in three-phase-type tank from viewpoint of partial discharge diagnosis on gas insulated switchgear
inferredcites →https://doi.org/10.1109/tdei.2010.5492244openalex-snapshot
Investigation of a comprehensive identification method used in acoustic detection system for GIS
inferredcites →https://doi.org/10.1109/tdei.2012.6260019openalex-snapshot
Development simulation and experiment study on UHF Partial Discharge Sensor in GIS
inferredcites →https://doi.org/10.1109/tdei.2013.004020openalex-snapshot
GIS partial discharge pattern recognition based on the chaos theory
inferredcites →https://doi.org/10.1109/tdei.2013.6518945openalex-snapshot
Application of K-Means method to pattern recognition in on-line cable partial discharge monitoring
inferredcites →https://doi.org/10.1109/tdei.2013.6678866openalex-snapshot
Risk assessment on defects in GIS based on PD diagnostics
inferredcites →https://doi.org/10.1109/tdei.2014.004391openalex-snapshot
New aspects of UHF PD diagnostics on gas-insulated systems
inferredcites →https://doi.org/10.1109/tdei.2014.004711openalex-snapshot
Partial discharge analysis of gas insulated systems at high voltage AC and DC
inferredcites →https://doi.org/10.1109/tdei.2015.7076809openalex-snapshot
Partial discharge recognition in gas insulated switchgear based on multi-information fusion
inferredcites →https://doi.org/10.1109/tdei.2015.7116362openalex-snapshot
Investigation of frequency characteristics of typical PD and the propagation properties in GIS
inferredcites →https://doi.org/10.1109/tdei.2017.005959openalex-snapshot
Dissolved gas analysis evaluation in electric power transformers using conventional methods a review
inferredcites →https://doi.org/10.1109/tim.2005.858143openalex-snapshot
Partial Discharge Pattern Classification Using the Fuzzy Decision Tree Approach
inferredcites →https://doi.org/10.1109/tpwrd.2004.839187openalex-snapshot
Separation of Corona Using Wavelet Packet Transform and Neural Network for Detection of Partial Discharge in Gas-Insulated Substations
inferredcites →https://doi.org/10.1109/tpwrd.2011.2162858openalex-snapshot
Using K-Means Clustering and Parameter Weighting for Partial-Discharge Noise Suppression
inferredcites →https://doi.org/10.1109/tpwrd.2011.2166089openalex-snapshot
Research on the Typical Partial Discharge Using the UHF Detection Method for GIS
inferredcites →https://doi.org/10.1137/1.9781611974348.25openalex-snapshot
Linear and Kernel Classification: When to Use Which?
inferredcites →https://doi.org/10.1162/neco.1997.9.8.1735openalex-snapshot
Long Short-Term Memory
inferredcites →https://doi.org/10.21437/interspeech.2010-343openalex-snapshot
Recurrent neural network based language model
inferredcites →https://doi.org/10.3390/en10071060openalex-snapshot
Comparison of the Performance of Artificial Neural Networks and Fuzzy Logic for Recognizing Different Partial Discharge Sources
inferredcites →https://doi.org/10.3390/en9080574openalex-snapshot
Artificial Neural Network Application for Partial Discharge Recognition: Survey and Future Directions
inferredcites →https://doi.org/10.3390/machines5030018openalex-snapshot
An Ensemble-Boosting Algorithm for Classifying Partial Discharge Defects in Electrical Assets
inferredcites →https://doi.org/10.3390/s17112627openalex-snapshot
Electrochemical and Infrared Absorption Spectroscopy Detection of SF6 Decomposition Products
inferredcites →https://doi.org/10.3390/s18030720openalex-snapshot
Diagnosis of Insulation Condition of MV Switchgears by Application of Different Partial Discharge Measuring Methods and Sensors

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4750418openalex-extracted
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Determination of partial discharge development stage of oil-paper insulation based on sparse decomposition considering the effect of aging
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A review of the applications of machine learning in the condition monitoring of transformers
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Design of Ensemble Fuzzy-RBF Neural Networks Based on Feature Extraction and Multi-feature Fusion for GIS Partial Discharge Recognition and Classification
inferred← citeshttps://doi.org/10.1007/s43236-021-00239-3openalex-snapshot
Partial discharge detection of insulated conductors based on CNN-LSTM of attention mechanisms
inferred← citeshttps://doi.org/10.1016/j.asej.2025.103762openalex-snapshot
Robust open-set partial discharge diagnosis based on hybrid supervised contrastive learning and SVM framework
inferred← citeshttps://doi.org/10.1016/j.compind.2020.103385openalex-snapshot
Multi-task learning of classification and denoising (MLCD) for noise-robust rotor system diagnosis
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Numerical study on temperature rise and structure optimization for a three-phase gas insulated switchgear busbar chamber
inferred← citeshttps://doi.org/10.1016/j.epsr.2022.108162openalex-snapshot
Partial Discharge Diagnosis in GIS based on Pulse Sequence Features and Optimized Machine Learning Classification Techniques
inferred← citeshttps://doi.org/10.1016/j.epsr.2023.109241openalex-snapshot
A real-time transformer discharge pattern recognition method based on CNN-LSTM driven by few-shot learning
inferred← citeshttps://doi.org/10.1016/j.epsr.2025.112331openalex-snapshot
Multibranch attention-enhanced CNN for PRPD-based defect diagnosis in epoxy resin insulation of HV dry type valve-side bushings
inferred← citeshttps://doi.org/10.1016/j.epsr.2026.114020openalex-snapshot
Transformer partial discharge pattern recognition method based on TQWT denoising and CNN-BiLSTM-Attention
inferred← citeshttps://doi.org/10.1016/j.ijepes.2020.106484openalex-snapshot
Optimizing GIS partial discharge pattern recognition in the ubiquitous power internet of things context: A MixNet deep learning model
inferred← citeshttps://doi.org/10.1016/j.ijthermalsci.2026.110970openalex-snapshot
Thermal regulation mechanism of embedded heat-pipe-assisted conductors under high heat-flux electrical loading
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A novel method of combining nonlinear frequency spectrum and deep learning for complex system fault diagnosis
inferred← citeshttps://doi.org/10.1016/j.measurement.2021.109220openalex-snapshot
Noise invariant partial discharge classification based on convolutional neural network
inferred← citeshttps://doi.org/10.1016/j.measurement.2024.114947openalex-snapshot
Comparative analysis of machine learning and deep learning techniques on classification of artificially created partial discharge signal
inferred← citeshttps://doi.org/10.1016/j.measurement.2025.118139openalex-snapshot
Gradient balanced selective mixture-of-experts for gas insulated switchgear partial discharge diagnosis
inferred← citeshttps://doi.org/10.1049/hve2.12035openalex-snapshot
ShuffleNet‐based comprehensive diagnosis for insulation and mechanical faults of power equipment
inferred← citeshttps://doi.org/10.1049/hve2.70088openalex-snapshot
Gas‐insulated switchgear partial discharge classification method based on deep transfer learning using experimental and field data
inferred← citeshttps://doi.org/10.1049/iet-smt.2019.0542openalex-snapshot
GIS partial discharge pattern recognition via lightweight convolutional neural network in the ubiquitous power internet of things context
inferred← citeshttps://doi.org/10.1049/smt2.70044openalex-snapshot
Partial Discharge Pattern Recognition Based on Time‐Frequency Multi‐Scale Residual Attention Network
inferred← citeshttps://doi.org/10.1063/5.0079361openalex-snapshot
Online recognition method of transformer partial discharge based on audio detection
inferred← citeshttps://doi.org/10.1088/1361-6501/ae6a0copenalex-snapshot
Deep learning for partial discharge diagnosis in electrical assets: fundamentals, applications, and future perspectives
inferred← citeshttps://doi.org/10.1109/access.2019.2946662openalex-snapshot
A MobileNets Convolutional Neural Network for GIS Partial Discharge Pattern Recognition in the Ubiquitous Power Internet of Things Context: Optimization, Comparison, and Application
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Progressive Improved Convolutional Neural Network for Avionics Fault Diagnosis
inferred← citeshttps://doi.org/10.1109/access.2020.2992790openalex-snapshot
Fault Detection on Insulated Overhead Conductors Based on DWT-LSTM and Partial Discharge
inferred← citeshttps://doi.org/10.1109/access.2020.3017226openalex-snapshot
Anomaly Detection for Partial Discharge in Gas-Insulated Switchgears Using Autoencoder
inferred← citeshttps://doi.org/10.1109/access.2021.3082858openalex-snapshot
A Review of Knowledge-Based Defect Identification via PRPD Patterns in High Voltage Apparatus
inferred← citeshttps://doi.org/10.1109/access.2021.3084950openalex-snapshot
Deep Ensemble Model for Unknown Partial Discharge Diagnosis in Gas-Insulated Switchgears Using Convolutional Neural Networks
inferred← citeshttps://doi.org/10.1109/access.2021.3102888openalex-snapshot
Detection, Classification and Location of Sources of Partial Discharges Using the Radiometric Method: Trends, Challenges and Open Issues
inferred← citeshttps://doi.org/10.1109/access.2022.3163303openalex-snapshot
Planar Ultrawideband Circularly Polarized Cosine Slot Archimedean Spiral Antenna for Partial Discharge Detection
inferred← citeshttps://doi.org/10.1109/access.2022.3181491openalex-snapshot
Partial Discharge Diagnosis With Siamese Fusion Network
inferred← citeshttps://doi.org/10.1109/access.2022.3222269openalex-snapshot
LSTM Neural Networks With Attention Mechanisms for Accelerated Prediction of Charge Density at Onset Condition of DC Corona Discharge
inferred← citeshttps://doi.org/10.1109/access.2024.3368866openalex-snapshot
A Comprehensive Review of Signal Processing and Machine Learning Technologies for UHF PD Detection and Diagnosis (II): Pattern Recognition Approaches
inferred← citeshttps://doi.org/10.1109/access.2024.3370241openalex-snapshot
Shared Knowledge-Based Contrastive Federated Learning for Partial Discharge Diagnosis in Gas-Insulated Switchgear
inferred← citeshttps://doi.org/10.1109/access.2024.3445974openalex-snapshot
Semi-Supervised Learning-Based Partial Discharge Diagnosis in Gas-Insulated Switchgear
inferred← citeshttps://doi.org/10.1109/access.2025.3556353openalex-snapshot
Partial Discharge Diagnosis Using Semi-Supervised Learning and Complementary Labels in Gas-Insulated Switchgear
inferred← citeshttps://doi.org/10.1109/access.2025.3633562openalex-snapshot
Class Distribution Mismatch-Aware Debiasing for Semi-Supervised Partial Discharge Diagnosis in Gas-Insulated Switchgear
inferred← citeshttps://doi.org/10.1109/access.2025.3638313openalex-snapshot
Fused CNN–LSTM for Within-Cycle Partial Discharge Classification From PRPD Images and Current Waveforms
inferred← citeshttps://doi.org/10.1109/acpee48638.2020.9136170openalex-snapshot
Research on GIS Partial Discharge Pattern Recognition Based on Deep Residual Network and Transfer Learning in Ubiquitous Power Internet of Things Context
inferred← citeshttps://doi.org/10.1109/eic63069.2025.11123271openalex-snapshot
Long Short-Term Memory (LSTM) Network for Classification of Partial Discharges
inferred← citeshttps://doi.org/10.1109/epec52095.2021.9621444openalex-snapshot
Ensemble Learning Framework to Detect Partial Discharges and Predict Power Line Faults
inferred← citeshttps://doi.org/10.1109/icaim69488.2026.11601565openalex-snapshot
Research on Incremental Partial Discharge Diagnosis for High-Voltage Switchgear Based on Weighted Distillation
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Robot Ground Classification and Recognition Based on CNN-LSTM Model
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Predictive Modeling of Surface Flashover Using Deep Learning
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Self-supervised learning-based Partial Discharge Diagnosis in Gas-insulated Switchgear
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Convolutional Neural Networks for Electrical Endurance Prediction of Alternating Current Contactors
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Condition Monitoring Based on Partial Discharge Diagnostics Using Machine Learning Methods: A Comprehensive State-of-the-Art Review
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MRATNet: Learning Discriminative Features for Partial Discharge Pattern Recognition via Transformers
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Small-Sample GIS Partial Discharge-Type Identification Method Based on Fusion of 1-D AT-DRSN and IDRN Models
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Effectiveness of Wavelet Scalogram on Partial Discharge Pattern Classification of XLPE Cable Insulation
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CapsPDNet: Optimized Capsule Network for Predicting Insulator Discharges Using UHF Signals
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A Deep Learning Approach for Discrimination of Single- and Multi-Source Corona Discharges
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Partial Discharge Identification in MV Switchgear Using Scalogram Representations and Convolutional AutoEncoder
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Knowledge-Driven Recognition Methodology of Partial Discharge Patterns in GIS
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inferred← citeshttps://doi.org/10.3390/en19010127openalex-snapshot
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inferred← citeshttps://doi.org/10.3929/ethz-b-000476202openalex-snapshot
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Dual-CyCon Net: A Cycle Consistent Dual-Domain Convolutional Neural Network Framework for Detection of Partial Discharge
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