• Title of article

    Investigation of transformer vibration characteristics using the finite element method

  • Author/Authors

    Esmaeili Nezhad ، A. School of Electrical and Computer Engineering, College of Engineering - University of Tehran , Samimi ، M. H. School of Electrical and Computer Engineering, College of Engineering - University of Tehran

  • From page
    441
  • To page
    457
  • Abstract
    Understanding the vibrational characteristics of power transformers is significantly important in their design and monitoring. In this contribution, a model with a multi-physics coupling simulation of the electrical circuit, magnetic field, and solid mechanics is developed to investigate the characteristics of the transformer vibration. After describing the model, the harmonic contents of the vibration signals and their variation in the case of mechanical faults are studied. It is shown that under normal operating conditions, the fundamental vibration frequency of 100 Hz has the maximum amplitude, while in the case of mechanical faults, the amplitudes of 200 Hz and 300 Hz harmonics increase dramatically compared to the fundamental harmonic. The influence of vibration sensor position is investigated too, which indicates that the area near the tank bottom is the best position to gather vibration signals. Moreover, the mechanical resonance frequencies of the transformer, along with their mode shapes, are addressed in this paper. Finally, the influence of mechanical changes on the vibration energy distribution in the tank surface is explored. The results of the paper suggest possible diagnosis methods for condition monitoring of transformers, such as using the vibration energy distribution on the tank surface or analyzing the vibration harmonics.
  • Keywords
    Condition Monitoring , Finite Element Method (FEM) , transformer winding , Vibration analysis , vibration modes , winding deformation
  • Journal title
    Scientia Iranica(Transactions D: Computer Science and Electrical Engineering)
  • Journal title
    Scientia Iranica(Transactions D: Computer Science and Electrical Engineering)
  • Record number

    2775842