Improving TDGC on Oil Dissolved Tranformator Gas Using Fuzzy Logic

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.