شماره ركورد كنفرانس :
4179
عنوان مقاله :
Interpretation of Power Transformer Frequency Response Analysis Using Non-Parametric statistical Methods
پديدآورندگان :
Fateh Hadi h.fateh@iausdj.ac.ir Phd Student, Islamic Azad University, Sanandaj Branch, Sanandaj, Iran, Iran. , Shamsi Varzeghan Rahim shams@azaruniv.edu MSc at Electrical Engineering, Azarbaijan Shahid Madani University, Tabriz, Iran, , Jannati Oskuee Mohammad Reza m.r.jannati@azaruniv.edu Phd Student, Electrical Engineering Department, Azarbaijan Shahid Madani
University, Tabriz, Iran,
كليدواژه :
Power transformers , Frequency response analysis , Nonparametric statistical methods , Inter , turn fault , FRA interpretation.
عنوان كنفرانس :
اولين مسابقه كنفرانس بين المللي جامع علوم مهندسي در ايران
چكيده فارسي :
Inter-turn faults have a significant role in power transformers and neglecting them can result more serious damages in power transformers. However, there is not a great study on this subject so far. Sweep Frequency Response Analysis (SFRA), based on comparisons between frequency responses, is a powerful method to detect these faults. Analyzing of the frequency response to detect the transformer faults requires the experts to interpret the test results. The main problem with SFRA is to need an expert view in failure detecting. The most accurate solution for this problems using statistical indicator. This paper means to propose a number of nonparametric statistical methods that have not been used so far. Then these equations are applied to some different sets of experimental SFRA measurements. Finally, some nonparametric statistical indicators that have good treat in recognizing inter-turn faults, using SFRA measurement, are presented.
