| Popis: |
Condition monitoring of transformer oil is necessary for every aspect which leads to failure of its insulation properties before the fault has occurred. In this paper, the failure levels are characterized based on physical, chemical, electrical and mechanical parameters as they are responsible for stresses occurring in the oil. Fuzzy logic model is developed for every individual parameter which includes FRA, DGA, Water Content, Acidity, Interfacial Tension, UV/VIS Spectrophotometry, Partial Discharge, Breakdown Voltage, Furan Content as a sub-model and since all these parameters contribute as a single unit in degradation of oil, an integrated fuzzy logic model is created by assimilating all the fuzzy sub-models to know the criticality of transformer oil more accurately so that timely preventive actions can be taken before the actual fault occurs. |
