专题:Power Transformer Diagnostics and Insulation

This cluster of papers focuses on the condition assessment and diagnosis of power transformers, with an emphasis on techniques such as dissolved gas analysis, frequency response analysis, and dielectric spectroscopy. The aging of insulation materials, use of vegetable oils, and asset management strategies are also key areas of research.
最新文献
Guest Editorial: Dielectric materials, sensing, monitoring, and diagnostic technologies for high‐voltage equipment in new power systems. II Advanced sensor method and diagnosis technique

editorial Full Text OpenAlex

Integrated Oil-Gas Separation and Raman Spectroscopy Gas Detection Component for Online Dissolved Gas Analysis in Transformer Oil

article Full Text OpenAlex

Using Frequency B-Splines for an accurate and faster calculation of adaptive transforms for electric machines diagnosis

article Full Text OpenAlex

Can We Predict the Partial Discharge Inception Voltage in Electrical Asset Components Operating at Variable Pressure? An Innovative Answer

article Full Text OpenAlex

Electric Motor Design for Reliability Based on Thermal Aging of Twisted Pairs and Partial Discharge Inception

article Full Text OpenAlex

Frequency Domain Spectroscopy Characteristics of Transformer Oil-Paper Insulation Under Wide Temperature Range

article Full Text OpenAlex

A Physics-Informed Neural Network with Residual Structure for 2D Thermal Distribution Modeling and Prognostics of Cylindrical Lithium-ion Batteries

article Full Text OpenAlex

Compact Modeling of Trap Density Applicable for Different Observed Phenomena

article Full Text OpenAlex

Nanofillers for Transformer Oil Nanofluids

book-chapter Full Text OpenAlex

Transformer Winding Fault Locating Using Frequency Domain Reflectometry (FDR) Technology

article Full Text OpenAlex

近5年高被引文献
Introduction to Electrodynamics

book Full Text OpenAlex 1937 FWCI113.114

Loss of Life Transformer Prediction Based on Stacking Ensemble Improved by Genetic Algorithm By IJISRT

article Full Text OpenAlex 1323 FWCI515.552

Applications of Physics-Informed Neural Networks in Power Systems - A Review

review Full Text OpenAlex 248 FWCI11.673

On Short-Term Load Forecasting Using Machine Learning Techniques and a Novel Parallel Deep LSTM-CNN Approach

article Full Text OpenAlex 217 FWCI14.9

RETRACTED: Theoretical study of MHD electro-osmotically flow of third-grade fluid in micro channel

article Full Text OpenAlex 207 FWCI16.392

A critical review of plant-based insulating fluids for transformer: 30-year development

review Full Text OpenAlex 200 FWCI3.93

Deep learning through LSTM classification and regression for transmission line fault detection, diagnosis and location in large-scale multi-machine power systems

article Full Text OpenAlex 194 FWCI21.074

Electrical Load Forecasting Using LSTM, GRU, and RNN Algorithms

article Full Text OpenAlex 167 FWCI26.348

Synthesis, stability, density, viscosity of ethylene glycol-based ternary hybrid nanofluids: Experimental investigations and model -prediction using modern machine learning techniques

article Full Text OpenAlex 146 FWCI13.076

Thermal Conductivity and Viscosity: Review and Optimization of Effects of Nanoparticles

review Full Text OpenAlex 141 FWCI2.651