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FRA method is explained and its basic principle is presented. The statistical indexes were used to evaluate the FRA test results on power transformers. A detailed case analysis was performed on the FRA test result of power transformers.Frequency Response Analysis (FRA) is one of the most effective and sensitive method widely used in the evaluation of transformer failure condition such as axial-radial displacement of the coil, winding deformation, insulation problem, clamping structure looseness, core movement, and so on. Figure A. Principle schematics of the FRA method.Purpose: The purpose of this study is to present principal of the FRA and to explain indexes used for statistical interpretation of the results on the real example cases. Theory and Methods:In this study, FRA method, which is one of the new generation test methods used in diagnosis of power transformer faults, is discussed. Statistical indices used in the evaluation of FRA results are introduced and comparisons are made according to various criteria. FRA test results of two real cases are evaluated both with statistical methods and experimentally. Results:The obtained experimental results showed that; residual magnetism and measuring direction is significantly influence of the FRA test results. In addition, statistical methods; Correlation Coefficient (CC), Cross-Correlation Function (CCF), Standard Deviation (SD), Absolute Sum of Logarithmic Error (ASLE), Absolute Average Difference (DABS), Standard Difference Area (SDA), and Lin's Concordance Coefficient (LCC) are successfully applied as numerical index in the evaluation of FRA test results for diagnosis of the power transformer faults. Considering all these situations, expert knowledge is required in the interpretation of FRA results as well statistical methods can be used. Conclusion:FRA gives more sensitive and successful results than other electrical tests in the diagnosis of winding faults in transformers and structural dislocation in the core, especially in determining the structural movement that may occurs in windings and core.
FRA method is explained and its basic principle is presented. The statistical indexes were used to evaluate the FRA test results on power transformers. A detailed case analysis was performed on the FRA test result of power transformers.Frequency Response Analysis (FRA) is one of the most effective and sensitive method widely used in the evaluation of transformer failure condition such as axial-radial displacement of the coil, winding deformation, insulation problem, clamping structure looseness, core movement, and so on. Figure A. Principle schematics of the FRA method.Purpose: The purpose of this study is to present principal of the FRA and to explain indexes used for statistical interpretation of the results on the real example cases. Theory and Methods:In this study, FRA method, which is one of the new generation test methods used in diagnosis of power transformer faults, is discussed. Statistical indices used in the evaluation of FRA results are introduced and comparisons are made according to various criteria. FRA test results of two real cases are evaluated both with statistical methods and experimentally. Results:The obtained experimental results showed that; residual magnetism and measuring direction is significantly influence of the FRA test results. In addition, statistical methods; Correlation Coefficient (CC), Cross-Correlation Function (CCF), Standard Deviation (SD), Absolute Sum of Logarithmic Error (ASLE), Absolute Average Difference (DABS), Standard Difference Area (SDA), and Lin's Concordance Coefficient (LCC) are successfully applied as numerical index in the evaluation of FRA test results for diagnosis of the power transformer faults. Considering all these situations, expert knowledge is required in the interpretation of FRA results as well statistical methods can be used. Conclusion:FRA gives more sensitive and successful results than other electrical tests in the diagnosis of winding faults in transformers and structural dislocation in the core, especially in determining the structural movement that may occurs in windings and core.
Power transformers are expensive pieces of electrical equipment that are used to connect transmission and distribution networks. Power transformers are inspected and tested on a regular basis throughout production, shipment, installation, and operation. There are several ways for determining the mechanical integrity of power transformers. Power transformers are monitored using these diagnostic procedures, and any breakdowns and issues are avoided. Scanning Frequency Response Analysis (SFRA) is an efficient method for determining the condition of the transformer core and windings. To evaluate the state of the transformer winding, SFRA, winding direct current resistance, and winding capacitance tests were done in this study. In the case study, a comprehensive case analysis was done on the SFRA test findings for a 50/62.5 MVA power transformer, and the results were analyzed. The results reveal that the SFRA test finds structural winding problems in transformers with high accuracy.
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