Model building for current transformer paper-oil insulation state diagnostics
A feedforward neural network based diagnostic model of oil-impregnated paper insulation of a current transformer has been developed. Its experimental validation as compared with a regression model has been performed.
Saved in:
| Date: | 2014 |
|---|---|
| Main Authors: | Skrupskaya, L. S., Oliinyk, A. O., Sakhno, A. A. |
| Format: | Article |
| Language: | Russian |
| Published: |
National Technical University "Kharkiv Polytechnic Institute" and Аnatolii Pidhornyi Institute of Power Machines and Systems of NAS of Ukraine
2014
|
| Subjects: | |
| Online Access: | http://eie.khpi.edu.ua/article/view/2074-272X.2014.2.11 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Journal Title: | Electrical Engineering & Electromechanics |
Institution
Electrical Engineering & ElectromechanicsSimilar Items
-
DYNAMICS MODEL OF MOISTURE IN PAPER INSULATION-TRANSFORMER OIL SYSTEM IN NON-STATIONARY THERMAL MODES OF THE POWER TRANSFORMER
by: Vasilevskij, V. V.
Published: (2016) -
ASSESSMENT OF THE RESOURCE CONSUMPTION OF OIL-FILLED POWER TRANSFORMER PAPER INSULATION BASED ON UPDATED AGING INTEGRAL
by: Vasilevskij, V. V.
Published: (2015) -
Reasoning of additional diagnostic parameters for electric insulation diagnostics by absorption methods
by: Kyrylenko, V.M., et al.
Published: (2021) -
Characteristics for choice of models in the ansables classification
by: Barmak, O.V., et al.
Published: (2018) -
EVALUATION OF POWER TRANSFORMER INSULATION RESIDUAL LIFE BASED ON ITS INDIVIDUAL LIFE CYCLE CHARACTERISTICS
by: Poliakov, M. A., et al.
Published: (2014)