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Feature Selection for Partial Discharge Severity Assessment in Gas-Insulated Switchgear Based on Minimum Redundancy and Maximum Relevance

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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/s10044-014-0375-9openalex-snapshot

A GA-based feature selection and parameter optimization of an ANN in diagnosing breast cancer

inferredcites →https://doi.org/10.1016/j.epsr.2003.07.006openalex-snapshot

Status review on partial discharge measurement techniques in gas-insulated switchgear/lines

inferredcites →https://doi.org/10.1016/j.epsr.2014.01.010openalex-snapshot

Application of an ensemble neural network for classifying partial discharge patterns

inferredcites →https://doi.org/10.1016/j.epsr.2014.09.014openalex-snapshot

Improving pattern recognition accuracy of partial discharges by new data preprocessing methods

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/10.1016/j.measurement.2015.02.032openalex-snapshot

Partial discharge classifications: Review of recent progress

inferredcites →https://doi.org/10.1016/j.measurement.2016.06.043openalex-snapshot

An investigative study into the sensitivity of different partial discharge φ-q-n pattern resolution sizes on statistical neural network pattern classification

inferredcites →https://doi.org/10.1038/srep38318openalex-snapshot

Mal-Lys: prediction of lysine malonylation sites in proteins integrated sequence-based features with mRMR feature selection

inferredcites →https://doi.org/10.1103/physreve.69.066138openalex-snapshot

Estimating mutual information

inferredcites →https://doi.org/10.1109/tdei.2005.1430395openalex-snapshot

Trends in partial discharge pattern classification: a survey

inferredcites →https://doi.org/10.1109/tdei.2007.302869openalex-snapshot

Study on mathematical model for VHF partial discharge of typical insulated defects in GIS

inferredcites →https://doi.org/10.1109/tdei.2007.302877openalex-snapshot

Insulation properties and degradation mechanism of insulating spacers in gas insulated switchgear (GIS) for repeated/long voltage application

inferredcites →https://doi.org/10.1109/tdei.2008.4543107openalex-snapshot

Detection of harmful metallic particles inside gas insulated switchgear using UHF sensor

inferredcites →https://doi.org/10.1109/tdei.2013.003585openalex-snapshot

Partial discharge initiated by free moving metallic particles on GIS insulator surface: severity diagnosis and assessment

inferredcites →https://doi.org/10.1109/tdei.2013.004090openalex-snapshot

Investigation of feature selection techniques for improving efficiency of power transformer condition assessment

inferredcites →https://doi.org/10.1109/tdei.2013.004114openalex-snapshot

Partial discharges in SF6 gas filled void under standard oscillating lightning and switching impulses in uniform and non-uniform background fields

inferredcites →https://doi.org/10.1109/tdei.2013.6508749openalex-snapshot

Pattern recognition techniques and their applications for automatic classification of artificial partial discharge sources

inferredcites →https://doi.org/10.1109/tdei.2015.005226openalex-snapshot

Improving recognition accuracy of partial discharge patterns by image-oriented feature extraction and selection technique

inferredcites →https://doi.org/10.1109/tdei.2015.7076807openalex-snapshot

Partial discharge pattern recognition via sparse representation and ANN

inferredcites →https://doi.org/10.1109/tpami.2005.159openalex-snapshot

Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancy

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/10.1126/science.1262073openalex-snapshot

Determinants of community structure in the global plankton interactome

inferredcites →https://doi.org/10.3390/en9030152openalex-snapshot

Statistical Analysis of Partial Discharges in SF6 Gas via Optical Detection in Various Spectral Ranges

inferredcites →https://doi.org/10.3390/en9050347openalex-snapshot

Diagnostic Measurements for Power Transformers

inferredcites →https://doi.org/10.3390/en9080574openalex-snapshot

Artificial Neural Network Application for Partial Discharge Recognition: Survey and Future Directions

inferredcites →https://doi.org/10.5370/jeet.2015.10.1.344openalex-snapshot

Features Extraction and Mechanism Analysis of Partial Discharge Development under Protrusion Defect

inferredcites →https://doi.org/10.5370/jeet.2016.11.1.192openalex-snapshot

Application of SA-SVM Incremental Algorithm in GIS PD Pattern Recognition

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/10.1007/978-981-15-2866-8_2openalex-snapshot

Partial Discharge Detection Technique Using Polar Coordinate Phase-Resolved Pattern in Rail Transportation Gas-Insulated Substation

inferred← citeshttps://doi.org/10.1016/j.epsr.2026.113910openalex-snapshot

Cable partial discharge defect identification method based on multi-level feature fusion and hierarchical mRMR feature selection

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/10.1038/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/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/smt2.70086openalex-snapshot

Label‐Free Partial Discharge Severity Assessment in Gas‐Insulated Switchgear via Semantic‐Guided Unsupervised Domain Adaptation

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.2022.3163303openalex-snapshot

Planar Ultrawideband Circularly Polarized Cosine Slot Archimedean Spiral Antenna for Partial Discharge Detection

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/icemce64157.2024.10862106openalex-snapshot

Research on Multi-Dimensional Fault Diagnosis Technology of Combined Electrical Apparatus Based on Electromechanical Cooperative Monitoring

inferred← citeshttps://doi.org/10.1109/iciea.2019.8833700openalex-snapshot

Risk assessment basis of Acoustic Signal from Free Moving Metallic Particles in GIS

inferred← citeshttps://doi.org/10.1109/mei.2019.8735667openalex-snapshot

Partial discharge detection and diagnosis in gas insulated switchgear: State of the art

inferred← citeshttps://doi.org/10.1109/sgee60678.2023.10481747openalex-snapshot

GIS Partial Discharge Fault Diagnosis Method Based on Synchrosqueezing Wavelet Transform and Vision Transformer

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.2024.3455314openalex-snapshot

Small-Sample GIS Partial Discharge-Type Identification Method Based on Fusion of 1-D AT-DRSN and IDRN Models

inferred← citeshttps://doi.org/10.1109/tdei.2025.3537969openalex-snapshot

Discriminative Analysis of HVDC Discharges Over Composite Insulators by Feature Selection Combined With SVM

inferred← citeshttps://doi.org/10.1186/s42162-025-00574-wopenalex-snapshot

Application of machine learning in power grid fault detection and maintenance

inferred← citeshttps://doi.org/10.3390/books978-3-03921-761-8openalex-snapshot

Applications of Computational Intelligence to Power Systems

inferred← citeshttps://doi.org/10.3390/electronics14071262openalex-snapshot

OR-MTL: A Robust Ordinal Regression Multi-Task Learning Framework for Partial Discharge Diagnosis in Gas-Insulated Switchgear

inferred← citeshttps://doi.org/10.3390/en10111913openalex-snapshot

Failure Prognosis of High Voltage Circuit Breakers with Temporal Latent Dirichlet Allocation

inferred← citeshttps://doi.org/10.3390/en11071619openalex-snapshot

Study on the Propagation Characteristics of Partial Discharge in Switchgear Based on Near-Field to Far-Field Transformation

inferred← citeshttps://doi.org/10.3390/en12102005openalex-snapshot

Recognition and Classification of Incipient Cable Failures Based on Variational Mode Decomposition and a Convolutional Neural Network

inferred← citeshttps://doi.org/10.3390/en17010004openalex-snapshot

Supervised Contrastive Learning for Fault Diagnosis Based on Phase-Resolved Partial Discharge in Gas-Insulated Switchgear

inferred← citeshttps://doi.org/10.3390/en17112443openalex-snapshot

Partial Discharge Pattern Recognition Based on an Ensembled Simple Convolutional Neural Network and a Quadratic Support Vector Machine

inferred← citeshttps://doi.org/10.3390/s22134982openalex-snapshot

PD Flexible Built-In High-Sensitivity Elliptical Monopole Antenna Sensor

inferred← citeshttps://doi.org/10.37934/arfmts.107.1.5879openalex-snapshot

A Contemporary Review of High Voltage Partial Discharge Detection and Recognition Techniques

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