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Identification of Partial Discharge Defects Based on Deep Learning Method

https://doi.org/10.1109/tpwrd.2019.2910583
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What this work says

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

inferredcites →https://doi.org/10.1002/etep.1614openalex-snapshot
Data mining on partial discharge signals of power transformer's defect models
inferredcites →https://doi.org/10.1049/iet-smt.2016.0326openalex-snapshot
Assessment of PD severity in gas‐insulated switchgear with an SSAE
inferredcites →https://doi.org/10.1049/ip-smt:20050103openalex-snapshot
UHF and current pulse measurements of partial discharge activity in mineral oil
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/10.1109/94.300259openalex-snapshot
Artificial neural networks for recognition of 3-d partial discharge patterns
inferredcites →https://doi.org/10.1109/ceidp.2006.312113openalex-snapshot
Correlation of partial discharge and dissolved gas analysis results from discharge activity in SRBP
inferredcites →https://doi.org/10.1109/cmd.2016.7757811openalex-snapshot
Partial discharges at DC voltage - measurement and pattern recognition
inferredcites →https://doi.org/10.1109/elinsl.2012.6251507openalex-snapshot
A feature based method for partial discharge source classification
inferredcites →https://doi.org/10.1109/icpere.2016.7904851openalex-snapshot
Partial discharge patterns on cross-linked polyethylene DC power cables
inferredcites →https://doi.org/10.1109/mei.2002.1044316openalex-snapshot
Recognition of discharge sources using UHF PD signatures
inferredcites →https://doi.org/10.1109/pesgm.2012.6344929openalex-snapshot
Recognition of partial discharge patterns
inferredcites →https://doi.org/10.1109/t-dei.2008.4446759openalex-snapshot
Knowledge-based diagnosis of partial discharges in power transformers
inferredcites →https://doi.org/10.1109/tdei.2007.369530openalex-snapshot
SVM classification of contaminating particles in liquid dielectrics using higher order statistics of electrical and acoustic PD measurements
inferredcites →https://doi.org/10.1109/tdei.2010.5412017openalex-snapshot
Partial discharge source discrimination using a support vector machine
inferredcites →https://doi.org/10.1109/tdei.2010.5492248openalex-snapshot
Oil-paper aging evaluation by fuzzy clustering and factor analysis to statistical parameters of partial discharges
inferredcites →https://doi.org/10.1109/tdei.2017.006706openalex-snapshot
Analysis of air decomposition by-products under four kinds of partial discharge defects
inferredcites →https://doi.org/10.1109/tpwrd.2005.861242openalex-snapshot
Acousto-optical PD Detection for Transformers
inferredcites →https://doi.org/10.1109/tpwrd.2006.874655openalex-snapshot
Comparison of Sensitivity Between UHF Method and IEC 60270 for Onsite Calibration in Various GIS
inferredcites →https://doi.org/10.1109/tpwrd.2010.2073551openalex-snapshot
Online Oil Condition Monitoring Using a Partial- Discharge Signal
inferredcites →https://doi.org/10.1109/tpwrd.2011.2124474openalex-snapshot
The Use of Partial Discharges as an Online Monitoring System for Underground Cable Joints
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/10.1109/tpwrd.2013.2242206openalex-snapshot
Investigation of the Evaluation of the PD Severity and Verification of the Sensitivity of Partial-Discharge Detection Using the UHF Method in GIS
inferredcites →https://doi.org/10.1109/tsg.2014.2384501openalex-snapshot
Smart Transformer for Smart Grid—Intelligent Framework and Techniques for Power Transformer Asset Management
inferredcites →https://doi.org/10.1109/tsg.2016.2558200openalex-snapshot
A Framework for Automatically Extracting Overvoltage Features Based on Sparse Autoencoder
inferredcites →https://doi.org/10.1126/science.1127647openalex-snapshot
Reducing the Dimensionality of Data with Neural Networks

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.4676216openalex-extracted
Optimum Feature Selection of Pd Signals Produced by Multiple Insulation Defects in Electric Motors
inferred← citeshttps://doi.org/10.1007/978-981-16-4943-1_32openalex-snapshot
Recognition of Partial Discharge Signal Using Deep Learning Algorithm
inferred← citeshttps://doi.org/10.1007/978-981-96-4063-8_32openalex-snapshot
Self-supervised Representation Learning for GIS Partial Discharge Condition Assessment
inferred← citeshttps://doi.org/10.1007/s00202-024-02689-xopenalex-snapshot
Determination of partial discharge development stage of oil-paper insulation based on sparse decomposition considering the effect of aging
inferred← citeshttps://doi.org/10.1007/s00202-024-02836-4openalex-snapshot
Acoustic emission analysis for corona discharge detection in medium-voltage cubicles: a review
inferred← citeshttps://doi.org/10.1016/j.epsr.2021.107105openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.epsr.2022.107854openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.eswa.2021.114568openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.eswa.2022.118390openalex-snapshot
Novel data augmentation for improved insulation fault diagnosis under nonideal condition
inferred← citeshttps://doi.org/10.1016/j.gloei.2020.11.009openalex-snapshot
Chromatic processing for feature extraction of PD-induced UHF signals in GIS
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.isatra.2022.08.009openalex-snapshot
Novel metric-based meta-learning model for few-shot diagnosis of partial discharge in a gas-insulated switchgear
inferred← citeshttps://doi.org/10.1016/j.jece.2025.120947openalex-snapshot
Scientometric analysis of the use of new global technologies in gas resource extraction: A review of research trends and advances made from a knowledge management perspective
inferred← citeshttps://doi.org/10.1016/j.measurement.2021.109151openalex-snapshot
Risk assessment of low voltage motors based on PD measurements and insulation diagnostics
inferred← citeshttps://doi.org/10.1016/j.measurement.2023.112882openalex-snapshot
A review on partial discharge diagnosis in cables: Theory, techniques, and trends
inferred← citeshttps://doi.org/10.1016/j.measurement.2026.122234openalex-snapshot
Two-stage autoencoder-based feature extraction with weighted fusion for partial discharge classification
inferred← citeshttps://doi.org/10.1016/j.mtcomm.2023.105400openalex-snapshot
Adsorption performance of Cu-HfSe2 on air decomposition products: A First-principles study
inferred← citeshttps://doi.org/10.1016/j.rico.2025.100562openalex-snapshot
Localization of partial discharge in the high voltage apparatus
inferred← citeshttps://doi.org/10.1016/j.surfin.2024.105089openalex-snapshot
Effect of micrometer bubble interfaces on the detection and measurement method of XLPE
inferred← citeshttps://doi.org/10.1038/s41598-024-73196-zopenalex-snapshot
Optimum feature selection for classification of PD signals produced by multiple insulation defects in electric motors
inferred← citeshttps://doi.org/10.1049/hve.2019.0067openalex-snapshot
Method of inter‐turn fault detection for next‐generation smart transformers based on deep learning algorithm
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/iet-smt.2020.0186openalex-snapshot
Localisation of inter-layer partial discharges in transformer windings by logistic regression and different features extracted from current signals
inferred← citeshttps://doi.org/10.1049/smt2.12138openalex-snapshot
Applicability of the acoustic–electrical joint detection method to identify defects in gas insulated system
inferred← citeshttps://doi.org/10.1051/meca/2026001openalex-snapshot
The state diagnosis method of metal enclosed gas insulation complete equipment based on deep learning algorithms
inferred← citeshttps://doi.org/10.1080/03772063.2022.2038702openalex-snapshot
Recognition of Fused Partial Discharge Patterns in High Voltage Insulation Systems: A Hybrid DCNN and SVM Based Approach
inferred← citeshttps://doi.org/10.1088/1361-6501/ac7a09openalex-snapshot
A novel federated deep learning framework for diagnosis of partial discharge in gas-insulated switchgear
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/10.1088/1742-6596/2774/1/012045openalex-snapshot
GIS Partial Discharge Pattern Recognition Based on IWOA-SVM Algorithm
inferred← citeshttps://doi.org/10.1108/compel-08-2019-0317openalex-snapshot
Recognition of partial discharge of cable accessories based on convolutional neural network with small data set
inferred← citeshttps://doi.org/10.1109/access.2021.3075288openalex-snapshot
Overview and Partial Discharge Analysis of Power Transformers: A Literature Review
inferred← citeshttps://doi.org/10.1109/access.2023.3279355openalex-snapshot
Review on Partial Discharge Diagnostic Techniques for High Voltage Equipment in Power Systems
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/acpee60788.2024.10532722openalex-snapshot
Parameter Identification of Power Transmission Line Based on Graph Attention Network
inferred← citeshttps://doi.org/10.1109/cacs50047.2020.9289781openalex-snapshot
Classification and Detection of Partial Discharge in Cast-Resin Transformers
inferred← citeshttps://doi.org/10.1109/catcon56237.2022.10077643openalex-snapshot
Wavelet Aided Deep Neural Network for Classification of Partial Discharge Sources in Air Insulated Substations
inferred← citeshttps://doi.org/10.1109/catcon56237.2022.10077674openalex-snapshot
The Feature Extraction and Selection for Electrode-Based UHF Partial Discharge Classification Using Different Machine Learning Techniques
inferred← citeshttps://doi.org/10.1109/ceidp61707.2025.11218456openalex-snapshot
Comparative Analysis of Dimensionality Reduction Techniques for Partial Discharge Dataset
inferred← citeshttps://doi.org/10.1109/globalsip45357.2019.8969553openalex-snapshot
Partial Discharge Classification in Power Electronics Applications using Machine Learning
inferred← citeshttps://doi.org/10.1109/icc-robins60238.2024.10533936openalex-snapshot
Bayesian Optimized Convolution Neural Network Architecture for Partial Discharge Signature Recognition
inferred← citeshttps://doi.org/10.1109/iccre57112.2023.10155616openalex-snapshot
Pattern Recognition of Partial Discharge Faults Using Convolutional Neural Network (CNN)
inferred← citeshttps://doi.org/10.1109/icesc60852.2024.10689857openalex-snapshot
Partial Discharge Characteristics in Bushing Under Dry and Wet Configuration
inferred← citeshttps://doi.org/10.1109/icias49414.2021.9642630openalex-snapshot
Development of Partial Discharge Detection Device for PD Detection on Medium Voltage XLPE Cable
inferred← citeshttps://doi.org/10.1109/iestec54539.2022.00041openalex-snapshot
Partial Discharge Detection in Power Lines Using Automated Machine Learning
inferred← citeshttps://doi.org/10.1109/isgteurope64741.2025.11305301openalex-snapshot
Switchgear Partial Discharge Diagnosis Using Scarce Fault Records
inferred← citeshttps://doi.org/10.1109/jsen.2021.3066809openalex-snapshot
Partial Discharge Detection and Diagnosis of Transformer Bushing Based on UHF Method
inferred← citeshttps://doi.org/10.1109/powercon66300.2025.11295754openalex-snapshot
Integrated Rydberg Atomic Heterodyne Electric Field Sensor for Partial Discharge Signal Detection
inferred← citeshttps://doi.org/10.1109/ssd54932.2022.9955884openalex-snapshot
Modeling Effects of Partial Discharge Void Geometry on Various Dielectrics
inferred← citeshttps://doi.org/10.1109/tdei.2020.009070openalex-snapshot
Condition Monitoring Based on Partial Discharge Diagnostics Using Machine Learning Methods: A Comprehensive State-of-the-Art Review
inferred← citeshttps://doi.org/10.1109/tdei.2021.009813openalex-snapshot
Aging Assessment of Oil-Impregnated-Paper Electrical Equipment via Near Infrared Spectroscopy Powered by Improved PCA-RBF-NN: Modelling and Field Practices
inferred← citeshttps://doi.org/10.1109/tdei.2022.3228213openalex-snapshot
A Novel Condition Assessment Method for Corrugated Aluminum Sheathed XLPE Cables Based on Evolved Gas Analysis
inferred← citeshttps://doi.org/10.1109/tdei.2023.3264728openalex-snapshot
Classification of Vacuum Breakdown During Conditioning Based on Deep Learning
inferred← citeshttps://doi.org/10.1109/tdei.2024.3399171openalex-snapshot
MRATNet: Learning Discriminative Features for Partial Discharge Pattern Recognition via Transformers
inferred← citeshttps://doi.org/10.1109/tdei.2024.3403798openalex-snapshot
An Automatic Annotation and Pattern Recognition Method Based on Semisupervised ACGAN for Multisource Partial Discharge Diagnosis
inferred← citeshttps://doi.org/10.1109/tdei.2024.3448401openalex-snapshot
Machine-Learning Supported Localization of Partial Discharges in Real-Size Transformer Winding Using Noninvasive Capacitively- Coupled Pulse Injection
inferred← citeshttps://doi.org/10.1109/tdei.2025.3591387openalex-snapshot
Adaptive Separation Method for Interference Pulses in Partial Discharge Signals of Converter Transformers Based on IFCM Clustering
inferred← citeshttps://doi.org/10.1109/tdei.2026.3663347openalex-snapshot
Small-Sample Partial Discharge Diagnosis for GIS Based on Improved Capsule Generative Adversarial Network and Dual-Mode Generator Optimization
inferred← citeshttps://doi.org/10.1109/tim.2021.3109394openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tim.2022.3190529openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tim.2026.3684623openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tnnls.2022.3222671openalex-snapshot
LMFE: Learning-Based Multiscale Feature Engineering in Partial Discharge Detection
inferred← citeshttps://doi.org/10.1109/tpwrd.2020.3042934openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tpwrd.2021.3124528openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tpwrd.2022.3222317openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tpwrd.2023.3338209openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tpwrd.2025.3584132openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tpwrd.2026.3656982openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/upec65436.2025.11279824openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/wecon68556.2025.11414587openalex-snapshot
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inferred← citeshttps://doi.org/10.1142/s021800142150035xopenalex-snapshot
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inferred← citeshttps://doi.org/10.11591/ijece.v13i6.pp6000-6015openalex-snapshot
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inferred← citeshttps://doi.org/10.11591/ijeecs.v19.i3.pp1297-1305openalex-snapshot
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inferred← citeshttps://doi.org/10.1166/mex.2023.2513openalex-snapshot
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inferred← citeshttps://doi.org/10.17775/cseejpes.2023.05850openalex-snapshot
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inferred← citeshttps://doi.org/10.20944/preprints202306.0942.v1openalex-snapshot
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inferred← citeshttps://doi.org/10.23919/icact53585.2022.9728975openalex-snapshot
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inferred← citeshttps://doi.org/10.23919/pcmp.2023.000159openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/app14146097openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/app15073962openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/app16094462openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/electronics14010193openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/electronics14091730openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/electronics14224380openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/en13082102openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/en13102546openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/en13205496openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/en14133886openalex-snapshot
Anomaly Detection, Trend Evolution, and Feature Extraction in Partial Discharge Patterns
inferred← citeshttps://doi.org/10.3390/en14154711openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/en15186762openalex-snapshot
Review of Medium-Voltage Switchgear Fault Detection in a Condition-Based Monitoring System by Using Deep Learning
inferred← citeshttps://doi.org/10.3390/en16041817openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/en17184574openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/en18102583openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/s22062395openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/s26103193openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/su13094692openalex-snapshot
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