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Transformer Health Monitoring via DGA by reza515hei is a document available to read on EtoBox.

What is Transformer Health Monitoring via DGA about?

The document discusses using regression analysis methods to analyze dissolved gas analysis (DGA) data from transformer oil samples to monitor transformer health and predict faults. It analyzes DGA data from a power transformer using linear, exponential, trigonometric and polynomial regression models. The accuracy of models are evaluated by comparing predicted values to actual field data. It also examines the effect of oil filtration on reducing dissolved gases and extending transformer life. Regression anal

Author

reza515hei

Language

EN