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
High-Specific-Impulse Electrospray Propulsion with Small Capillary Emitters

article Full Text OpenAlex

Optical fiber sensing and partial discharge fault diagnosis for power cable health monitoring

article Full Text OpenAlex

Enhanced Power Transformer Fault Diagnosis Using Key Chemical Gases with DGA, Integrating Machine Learning and Traditional Methods

article Full Text OpenAlex

Early fault diagnosis of transformer winding based on ReliefF-mRMR leakage magnetic field feature optimization and improved LSSVM

article Full Text OpenAlex

Experimental Study and Comparative Analysis of Electrospray Cooling Performance of Water Mixtures with Ethanol, Methanol, and Isopropyl Alcohol

article Full Text OpenAlex

Experimental study of cellulose nanocrystals (CNC), Aluminum oxide (Al2O3), and hybrid (CNC + Al2O3) nanofluids for cooling photovoltaic module

article Full Text OpenAlex

Application of Ester-Based Tracers for Diagnosing Tap Changer Switch Oil Leaks in Power Transformers

article Full Text OpenAlex

Bayesian Physics Informed Neural Networks for Reliable Transformer Prognostics

article Full Text OpenAlex

A novel machine learning approach to analysis of electroosmotic effects and heat transfer on Multi-phase wavy flow

article Full Text OpenAlex

Sensitivity Enhancement via Tellegen's Quasi-Power Theorem: A New Method for Transformer Early Fault Detection

article Full Text OpenAlex

近5年高被引文献
Introduction to Electrodynamics

book Full Text OpenAlex 1902 FWCI142.136481

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 399 FWCI199.99641442

Electrical Load Forecasting Using LSTM, GRU, and RNN Algorithms

article Full Text OpenAlex 293 FWCI48.60398216

Towards trustworthy rotating machinery fault diagnosis via attention uncertainty in transformer

article Full Text OpenAlex 189 FWCI47.03323604

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 160 FWCI17.75957918

Effective IoT-based deep learning platform for online fault diagnosis of power transformers against cyberattacks and data uncertainties

article Full Text OpenAlex 160 FWCI17.22347525

Fault detection and diagnosis in power transformers: a comprehensive review and classification of publications and methods

review Full Text OpenAlex 141 FWCI14.96289412

Power transformer insulation system: A review on the reactions, fault detection, challenges and future prospects

review Full Text OpenAlex 127 FWCI13.45584004

Conventional methods of dissolved gas analysis using oil-immersed power transformer for fault diagnosis: A review

review Full Text OpenAlex 124 FWCI13.13289988