Cover Image

A Fault Location Method Based on Electromagnetic Transient Convolution Considering Frequency-Dependent Parameters and Lossy Ground

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wang, Guanbo, Zhuang, Chijie, Deng, Jun, Xie, Zhicheng
Format:	Preprint
Published:	2022
Subjects:	Signal Processing Computational Engineering, Finance, and Science
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Redundancy Analysis and Mitigation for Machine Learning-Based Process Monitoring of Additive Manufacturing
by: Xie, Jiarui, et al.
Published: (2025)

EISPY2D: An Open-Source Python Library for the Development and Comparison of Algorithms in Two-Dimensional Electromagnetic Inverse Scattering Problems
by: Batista, André Costa, et al.
Published: (2021)

GAN-driven Electromagnetic Imaging of 2-D Dielectric Scatterers
by: Naseer, Ehtasham, et al.
Published: (2024)

A Lumped RC Equivalent Circuit Model of Head Tissues in sub-MHz Frequency Regimes
by: Faccia, Angelo, et al.
Published: (2026)

Damage identification using noisy frequency response functions based on topology optimization
by: Saito, Akira, et al.
Published: (2026)

Bayesian estimation and reconstruction of marine surface contaminant dispersion
by: Liu, Yang, et al.
Published: (2023)

Property Estimation in Geotechnical Databases Using Labeled Random Finite Sets
by: Shim, Changbeom, et al.
Published: (2024)

Practical IMT and EESS Spectrum Sharing in the 7 to 8 GHz Band
by: Eichen, Elliot, et al.
Published: (2024)

Global Maxwell Tomography Using the Volume-Surface Integral Equation for Improved Estimation of Electrical Properties
by: Giannakopoulos, Ilias, et al.
Published: (2025)

Modal Decomposition and Identification for a Population of Structures Using Physics-Informed Graph Neural Networks and Transformers
by: Jian, Xudong, et al.
Published: (2025)

Computational Solar Energy -- Ensemble Learning Methods for Prediction of Solar Power Generation based on Meteorological Parameters in Eastern India
by: Chakraborty, Debojyoti, et al.
Published: (2023)

ADformer: A Multi-Granularity Spatial-Temporal Transformer for EEG-Based Alzheimer Detection
by: Wang, Yihe, et al.
Published: (2024)

Collective Noise Filtering in Complex Networks
by: Zhao, Tingyu, et al.
Published: (2026)

Some variation of COBRA in sequential learning setup
by: Bhambu, Aryan, et al.
Published: (2024)

NeRF Solves Undersampled MRI Reconstruction
by: Jang, Tae Jun, et al.
Published: (2024)

Advancing ECG Diagnosis Using Reinforcement Learning on Global Waveform Variations Related to P Wave and PR Interval
by: Fatima, Rumsha, et al.
Published: (2024)

Wastewater Treatment Plant Data for Nutrient Removal System
by: Mohammadi, Esmaeel, et al.
Published: (2024)

Drivetrain simulation using variational autoencoders
by: Sharma, Pallavi, et al.
Published: (2025)

A Generalized Framework for Multiscale State-Space Modeling with Nested Nonlinear Dynamics: An Application to Bayesian Learning under Switching Regimes
by: Vélez-Cruz, Nayely, et al.
Published: (2024)

A Lumped-Element Electrical Model of the Human Head for Brain-Oriented Applications
by: Faccia, Angelo, et al.
Published: (2026)

Buffer-Parameterized Machine Learning Surrogate Models for Cross-Technology Signal Integrity Analysis and Optimization
by: Withöft, Julian, et al.
Published: (2026)

Synthetic Time Series Data Generation for Healthcare Applications: A PCG Case Study
by: Jamshidi, Ainaz, et al.
Published: (2024)

A Hybrid Windkessel-Neural Approach for Improved Noninvasive Blood Pressure Monitoring
by: Gollapalli, Vaibhav, et al.
Published: (2026)

CardioRAG: A Retrieval-Augmented Generation Framework for Multimodal Chagas Disease Detection
by: Shen, Zhengyang, et al.
Published: (2025)

Systematic Analysis of Penalty-Optimised Illumination Design for Tomographic Volumetric Additive Manufacturing via the Extendable Framework TVAM AID Using the Core Imaging Library
by: Pellizzon, Nicole, et al.
Published: (2026)

Semi-supervised and unsupervised learning for health indicator extraction from guided waves in aerospace composite structures
by: Perry, James Josep, et al.
Published: (2025)

On-device Anomaly Detection in Conveyor Belt Operations
by: Martinez-Rau, Luciano S., et al.
Published: (2024)

Degrees of Freedom for Radiating Systems
by: Gustafsson, Mats
Published: (2024)

ReVeal-MT: A Physics-Informed Neural Network for Multi-Transmitter Radio Environment Mapping
by: Shahid, Mukaram, et al.
Published: (2025)

Detecting Plant VOC Traces Using Indoor Air Quality Sensors
by: Nabaei, Seyed Hamidreza, et al.
Published: (2025)

An index of effective number of variables for uncertainty and reliability analysis in model selection problems
by: Martino, Luca, et al.
Published: (2026)

Analogical Learning for Cross-Scenario Generalization: Framework and Application to Intelligent Localization
by: Chen, Zirui, et al.
Published: (2025)

Success probability of the $L_0$-regularized box-constrained Babai point and column permutation strategies
by: Chang, Xiao-Wen, et al.
Published: (2024)

Enhancing Deep Learning based RMT Data Inversion using Gaussian Random Field
by: Ghosal, Koustav, et al.
Published: (2024)

A unifying view of contrastive learning, importance sampling, and bridge sampling for energy-based models
by: Martino, Luca
Published: (2026)

Navigating Intelligence: A Survey of Google OR-Tools and Machine Learning for Global Path Planning in Autonomous Vehicles
by: Benoit, Alexandre, et al.
Published: (2025)

A Novel Training Framework for Physics-informed Neural Networks: Towards Real-time Applications in Ultrafast Ultrasound Blood Flow Imaging
by: Guan, Haotian, et al.
Published: (2023)

LEAD: An EEG Foundation Model for Alzheimer's Disease Detection
by: Wang, Yihe, et al.
Published: (2025)

A note on the area under the likelihood and the fake evidence for model selection
by: Martino, L., et al.
Published: (2026)

Effective sample size approximations as entropy measures
by: Martino, L., et al.
Published: (2026)