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This study presents a methodology for determining the moisture diffusion coefficient in non-impregnated transformer insulating paper using thermogravimetric analysis (TGA). The diffusion coefficient was optimized through genetic algorithms and validated against experimental drying curves, resulting in a new equation that accounts for moisture concentration, temperature, and insulation thickness. This coefficient can aid in predicting drying times for power transformers in manufacturing processes.

Author

taman

Language

EN