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

article Full Text OpenAlex

Research on the Health State Assessment of Electromagnetic Relays Based on PSO-SVM-DS

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Determination of dynamic viscosity and stability for single and hybrid nanofluids of SiO2, TiO2, MWCNT and ZnO nanoparticles

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Predictive Maintenance of Power Transformers in Distribution Network with Energy Management Using Deep Learning

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ALBERTA: ALgorithm-Based Error Resilience in Transformer Architectures

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Electrical Tree Failure at DBC Substrate-Silicone Gel Interface in High-Voltage Power Module Under Positive Square Wave Voltage

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Artificial Intelligence for Diagnosing Power Transformer Faults

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Long-term AC partial discharge characteristics of a 22 kV cast resin transformer in accelerated tests

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Harmonic voltage measurement based on capacitive equipment dielectric equivalent model and responding current

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A Method for Predicting Transformer Oil-Dissolved Gas Concentration Based on Multi-Window Stepwise Decomposition with HP-SSA-VMD-LSTM

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近5年高被引文献
Introduction to Electrodynamics

book Full Text OpenAlex 1889 FWCI138.35780155

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

article Full Text OpenAlex 1320 FWCI534.89911507

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

review Full Text OpenAlex 362 FWCI185.63769749

Electrical Load Forecasting Using LSTM, GRU, and RNN Algorithms

article Full Text OpenAlex 268 FWCI44.4568847

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

article Full Text OpenAlex 253 FWCI18.33628459

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 245 FWCI26.03525015

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

review Full Text OpenAlex 239 FWCI18.15292175

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

article Full Text OpenAlex 222 FWCI20.14370076

Overview and Partial Discharge Analysis of Power Transformers: A Literature Review

review Full Text OpenAlex 190 FWCI11.81750933

Towards trustworthy rotating machinery fault diagnosis via attention uncertainty in transformer

article Full Text OpenAlex 177 FWCI44.04699883