Health index assessment for power transformers with thermal upgraded paper up to 230kV, using fuzzy inference. Part II: A sensibility analysis
| Autor: | J. P. Lata, R. D. Medina, Diego P. Chacon-Troya |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Fuzzy inference
Engineering business.industry 020209 energy Process (computing) 02 engineering and technology Variation (game tree) Fuzzy logic Reliability engineering Set (abstract data type) Health index 0202 electrical engineering electronic engineering information engineering Sensibility Sensitivity (control systems) business |
| Zdroj: | 2017 International Caribbean Conference on Devices, Circuits and Systems (ICCDCS). |
| DOI: | 10.1109/iccdcs.2017.7959705 |
| Popis: | This paper presents a sensitivity analysis of a health index of power transformers tool, in order to identify the importance of each input to determine most important and those that can be dismissed to simplify the calculation process without significantly affecting the effectiveness of answers. To achieve objective, a methodology based on a study case is proposed which, starting from a set of real scenarios, analyzes the variation of the output (health index) when each input (tests performed in oil) is varied. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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