IMPROVING TDGC ON OIL DISSOLVED TRANSFORMATOR GAS USING FUZZY LOGIC

Junfithrana. et.all., Anggy Pradiftha (2020) IMPROVING TDGC ON OIL DISSOLVED TRANSFORMATOR GAS USING FUZZY LOGIC. In: ICCED.

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Abstract

Maintenance of transformator, especially in power transformers is a part that must be carried out
continuously. Transformator oil has a functions to isolating and cooling the transformer. Testing the condition of the
transformer oil which is carried out in the laboratory from the results of the test data will know the condition of the
transformer oil. Dissolved gas identification is a test that is often used in analyzing transformer oil conditions. Dissolved gas identification itself has several testing methods such as TDCG (Total Dissolved Combustible Gases). Fuzzy logic is a rule-based decision making system that aims to solve problems. Making fuzzy logic programs with TDCG method of transformer oil testing can make the diagnosis of transformer oil conditions more effective and can be used as supporting data for laboratory
tests.

Keywords Transformator Oil, TDCG, Fuzzy Logic

Item Type: Conference or Workshop Item (Paper)
Subjects: Engineering > Electrical Engineering
Divisions: Faculty of Engineering, Computer and Design > Electrical Engineering
Depositing User: LIU Library Unit
Date Deposited: 29 Sep 2022 06:32
Last Modified: 30 Sep 2022 08:46
URI: http://repository.nusaputra.ac.id/id/eprint/255

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