Prediction of switching impulse breakdown voltage of complex gap based on SVM

Prediction of switching impulse breakdown voltage of complex gap based on SVM

Complex gaps may be formed when carrying out live working in substations, while the discharge characteristics of complex gaps are different from those of single gaps. This paper focuses on the prediction of critical 50% positive switching impulse breakdown voltage ( U 50crit + of phase-to-phase comp...

Full description

Bibliographic Details
Main Authors:	Zhenpeng Tang, Yuancheng Qin, Changsheng Wu, Ronghuan Mai
Format:	Article
Language:	English
Published:	Polish Academy of Sciences 2022-05-01
Series:	Archives of Electrical Engineering
Subjects:	complex gap electric field features svm
Online Access:	https://journals.pan.pl/Content/123219/PDF/art15_internet.pdf

Similar Items

Breakdown voltage characteristics of combined air gaps under negative lightning impulse
by: Shaocheng Wu, et al.
Published: (2022-11-01)

Prediction of the tetramer protein complex interaction based on CNN and SVM
by: Yanfen Lyu, et al.
Published: (2023-01-01)

Indian Number Handwriting Features Extraction and Classification using Multi-Class SVM
by: H.A. Jeiad
Published: (2018-01-01)

Polycystic Ovary Syndrome (PCOS) Prediction System Using PSO-SVM
by: Lukman Hakim Shaufee, et al.
Published: (2024-03-01)

Evaluasi Ekstraksi Fitur GLCM dan LBP Menggunakan Multikernel SVM untuk Klasifikasi Batik
by: Pulung Nurtantio Andono, et al.
Published: (2021-02-01)

Intrusion Detection System Using SVM as Classifier and GA for Optimizing Feature Vectors
by: Hossein Gharaee, et al.
Published: (2018-03-01)

Airplane Detection Using Deep Learning Based on VGG and SVM
by: Zainab A. Khalaf, et al.
Published: (2024-08-01)

Enhancing multiclass brain tumor diagnosis using SVM and innovative feature extraction techniques
by: Mustafa Basthikodi, et al.
Published: (2024-10-01)

Electrostatic Field for Positive Lightning Impulse Breakdown Voltage in Sphere-to-Plane Air Gaps Using Machine Learning
by: Jin-Tae Kim, et al.
Published: (2023-08-01)

A Two-Layer SVM Ensemble-Classifier to Predict Interface Residue Pairs of Protein Trimers
by: Yanfen Lyu, et al.
Published: (2020-09-01)

Determination of individual factors associated with hallux valgus using SVM-RFE
by: Hidetoshi Nakao, et al.
Published: (2023-06-01)

Prediction of DC Breakdown Voltage of Rod–Plate Gaps under Full-Flame Bridging Conditions
by: Ziheng Pu, et al.
Published: (2024-04-01)

A fault diagnosis method for analog circuits based on EEMD-PSO-SVM
by: Shuhan Zhao, et al.
Published: (2024-09-01)

Forecasting Method of Coal and Gas Outburst Based on KPCA-SVM
by: LI Da-feng, et al.
Published: (2010-10-01)

Research on the Construction and Application of a SVM-Based Quantification Model for Streetscape Visual Complexity
by: Jing Zhao, et al.
Published: (2024-11-01)

Dropout Prediction Model for College Students in MOOCs Based on Weighted Multi-feature and SVM
by: Zhang Yujiao, et al.
Published: (2023-09-01)

A Novel Feature Extraction Approach Using Window Function Capturing and QPSO-SVM for Enhancing Electronic Nose Performance
by: Xiuzhen Guo, et al.
Published: (2015-06-01)

Breakdown phenomena of long gaps under switching impulse conditions
by: Institute of Electrical and Electronics Egnineers. Power Engineering Society
Published: (1974)

Identification of Voltage Sag Source in Distribution Network Based on BAS-SVM
by: Haitao LIU, et al.
Published: (2022-05-01)

Classification of Noni Fruit Ripeness Using Support Vector Machine (SVM) Method
by: Yudha Islami Sulistya, et al.
Published: (2024-12-01)

Comparison of the histogram of oriented gradient, GLCM, and shape feature extraction methods for breast cancer classification using SVM
by: Hanimatim Mu'jizah, et al.
Published: (2021-07-01)

Classifying smoke in laparoscopic videos using SVM
by: Alshirbaji Tamer Abdulbaki, et al.
Published: (2017-09-01)

Prediction of Flood Discharge Using Hybrid PSO-SVM Algorithm in Barak River Basin
by: Sandeep Samantaray, et al.
Published: (2023-01-01)

PSO-SVM-Based Online Locomotion Mode Identification for Rehabilitation Robotic Exoskeletons
by: Yi Long, et al.
Published: (2016-09-01)

FWA-SVM Network Intrusion Identification Technology for Network Security
by: Yaohui Zhang
Published: (2025-01-01)

Tuberculosis Classification using SVM and Modified CNN
by: SRINIVAS BABU N, et al.
Published: (2024-11-01)

Complex Human–Object Interactions Analyzer Using a DCNN and SVM Hybrid Approach
by: Cho Nilar Phyo, et al.
Published: (2019-05-01)

Impact of Electrode Distance in a Quasi-Uniform Model Electrode System on Lightning Impulse Breakdown Voltage in Various Insulating Liquids
by: Wiktor Kunikowski, et al.
Published: (2024-02-01)

Optimized Weight Evolutionary-based Support Vector Machine (SVM) Optimization for Comment Sentiment
by: Mulyana Mulyana, et al.
Published: (2025-01-01)

Rolling Bearing Fault Diagnosis Based on Time-Frequency Feature Extraction and IBA-SVM
by: Mei Zhang, et al.
Published: (2022-01-01)

Speech emotion recognition algorithm of intelligent robot based on ACO-SVM
by: Xueliang Kang
Published: (2025-12-01)

A fault diagnosis method for new energy power plants based on an improved SVM
by: CAO Ruifeng, et al.
Published: (2023-11-01)

SUPPORT VECTOR MACHINE (SVM) FOR MODELLING THE STRENGTH OF LIGHTWEIGHT FOAMED CONCRETE
by: Suhad M. Abd
Published: (2015-12-01)

Electric field profile and breakdown voltage of air gap due to the existence of floating particles /
by: 272904 Mohd. Azhan Mohmed @ Mohamed Zahari, et al.
Published: (2008)

Indication of Electromagnetic Field Exposure via RBF-SVM Using Time-Series Features of Zebrafish Locomotion
by: Yaqing He, et al.
Published: (2020-08-01)

Static Voltage Stability Analysis by Using SVM and Neural Network
by: Mehdi Hajian, et al.
Published: (2013-01-01)

High‐altitude tunnel‐catenary gap impulse discharge characteristics and breakdown voltage correction
by: Yi Liao, et al.
Published: (2023-12-01)

Monitor Cotton Budding Using SVM and UAV Images
by: Lang Xia, et al.
Published: (2019-10-01)

SA-SVM-Based Locomotion Pattern Recognition for Exoskeleton Robot
by: Zeyu Yin, et al.
Published: (2021-06-01)

Using Speech Signal for Emotion Recognition Using Hybrid Features with SVM Classifier
by: Fatima A.Hammed, et al.
Published: (2023-03-01)