| Autor: |
Ravi Pratyusha, R. Rengaraj, Pranav Moorthy, Ritika, K. Veena, G. R. Venkatakrishnan |
| Rok vydání: |
2020 |
| Předmět: |
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| Zdroj: |
Advances in Intelligent Systems and Computing ISBN: 9789811550287 |
| DOI: |
10.1007/978-981-15-5029-4_12 |
| Popis: |
A transformer is an electrical static machine used for changing the level of voltage as a ratio of the primary to secondary turns. At the distributor side of the power system network, transformers are required to step down the voltage from distributor voltage (high voltage) to the level required by industries and consumers (230 V). Oil is used in oil-core transformers for the purpose of cooling as well as insulation. The maintenance of transformer oil is essential as chemical reactions and dielectric breakdown occur due to the presence of anomalies and even at nominal operating conditions with ageing. This paper deals with various offline and online transformer oil monitoring methods which have been used until recent times. The pros and cons of the various methods and interpretation techniques for fault detection and fault-type prediction have been presented. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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