Analysis of Methods for Diagnosing Mechanical Fault of Power Transformer Winding
Abstract
Power transformers are important parts of electrical systems. If they fail, it can cause big problems. One common reason for failure is mechanical damage to the windings, often caused by short circuits or aging. Detecting such faults early is very important but not always easy. This paper compares different methods used to find these problems, including Frequency Response Analysis (FRA), Dissolved Gas Analysis (DGA), Polarization-Depolarization Current (PDC), and ShortCircuit Impedance (SCI). Each method has its strengths and weaknesses. The study shows that using a combination of methods gives better results. FRA is good for finding winding deformation, DGA helps assess insulation condition, and SCI is fast but less sensitive. The paper explains that combining different techniques gives more accurate and reliable diagnosis. In the future, these methods could be connected to online systems for real-time monitoring of transformers.