Aging Analysis of Transformer Insulation at Weakest Region: Dielectric Parameters Extraction via Immune Optimization
Author:
Affiliation:
1. School of Electrical Engineering, Guangxi University, Nanning, China
2. State Key Laboratory Breeding Base of Dielectrics Engineering, Harbin University of Science and Technology, Harbin, China
Funder
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Energy Engineering and Power Technology,Transportation,Automotive Engineering
Link
http://xplorestaging.ieee.org/ielx7/6687316/10050348/09828540.pdf?arnumber=9828540
Reference24 articles.
1. Cellulose chemical markers in transformer oil insulation Part 1: Temperature correction factors
2. Particle swarm optimization vs genetic algorithm, application and comparison to determine the moisture diffusion coefficients of pressboard transformer insulation
3. A Method for Hot-Spot Temperature Prediction and Thermal Capacity Estimation for Traction Transformers in High-Speed Railway Based on Genetic Programming
4. A novel genetic algorithm based on immunity
5. A Modified Simulation Model for Predicting the FDS of Transformer Oil-Paper Insulation Under Nonuniform Aging
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