access icon free Detecting incipient radial deformations of power transformer windings using polar plot and digital image processing

One of the main drawbacks of the frequency response analysis (FRA) technique that is widely accepted as the most reliable tool to detect transformer internal mechanical deformations is the inconsistent interpretation of the measured signature because of its reliance on personal expertise more than standard codes. Moreover, conventional FRA signature has a very low accuracy in detecting incipient and low mechanical fault levels. In order to avoid inconsistent interpretation for the transformer FRA signatures and improve its accuracy to detect minor fault levels, a reliable automated technique has become essential. This study investigates the feasibility of utilising FRA polar plot to detect minor radial deformation levels within two, three-phase power transformers of different ratings and winding configurations simulated using three-dimensional finite-element analysis software. Simulation results are validated through experimental measurements. Results of this study are also compared with the results obtained for other types of transformer winding deformations that are published in the literature in order to identify unique impact for each fault type on the proposed method. Findings reveal the superiority of the proposed approach over existing conventional technique in terms of accurate identification and quantification for minor transformer winding deformations.

Inspec keywords: finite element analysis; frequency response; power transformers; mechanical variables measurement; transformer windings; deformation

Other keywords: three-dimensional finite-element analysis; three-phase power transformers; transformer winding deformations; incipient radial deformations; power transformer windings; polar plot; digital image processing; transformer internal mechanical deformations; frequency response analysis; winding configurations

Subjects: Inductors and transformers; Transformers and reactors; Mechanical variables measurement; Finite element analysis

References

    1. 1)
      • 23. Xiaolong, D., Khorram, S.: ‘A feature-based image registration algorithm using improved chain-code representation combined with invariant moments’, IEEE Trans. Geosci. Remote Sens., 1999, 37, pp. 23512362.
    2. 2)
      • 22. McAndrew, A.: ‘An introduction to digital image processing with matlab notes for SCM2511 image processing’ (School of Computer Science and Mathematics, Victoria University of Technology, Melbourne, Australia, 2004), pp. 1264.
    3. 3)
      • 15. Aljohani, O., Abu-Siada, A.: ‘Application of DIP to detect power transformers axial displacement and disk space variation using FRA polar plot signature’, IEEE Trans. Ind. Inf., 2017, 13, (4), pp. 17941805.
    4. 4)
      • 18. Wang, H., Butler, K.L.: ‘Finite element analysis of internal winding faults in distribution transformers’, IEEE Trans. Power Deliv., 2001, 16, pp. 422428.
    5. 5)
      • 12. Badgujar, K.P., Maoyafikuddin, M., Kulkarni, S.V.: ‘Alternative statistical techniques for aiding SFRA diagnostics in transformers’, IET Gener. Transm. Distrib., 2012, 6, pp. 189198.
    6. 6)
      • 26. Bing, S., Jufu, F.: ‘A fast algorithm for image Euclidean distance’. CCPR ‘08. Chinese Conf. on Pattern Recognition, 2008, 2008, pp. 15.
    7. 7)
      • 8. Behjat, V., Mahvi, M.: ‘Statistical approach for interpretation of power transformers frequency response analysis results’, IET Sci. Meas. Technol., 2015, 9, pp. 367375.
    8. 8)
      • 21. Gonzalez, R. C.: ‘Rafael C. Gonzalez, Richard E. Woods, digital image processing’ (Pearson/Prentice Hall, Upper Saddle River, 2008).
    9. 9)
      • 17. Hyun-Mo, A., Ji-Yeon, L., Joong-Kyoung, K., et al: ‘Finite-element analysis of short-circuit electromagnetic force in power transformer’, IEEE Trans. Ind. Appl., 2011, 47, pp. 12671272.
    10. 10)
      • 3. Abu-Siada, A., Islam, S.: ‘A novel online technique to detect power transformer winding faults’, IEEE Trans. Power Deliv., 2012, 27, pp. 849857.
    11. 11)
      • 16. Aljohani, O., Abu-Siada, A.: ‘Application of digital image processing to detect transformer bushing faults and oil degradation using FRA polar plot signature’, IEEE Trans. Dielectr. Electr. Insul., 2017, 24, (1), pp. 428436.
    12. 12)
      • 4. Abeywickrama, N., Serdyuk, Y.V., Gubanski, S.M.: ‘Effect of core magnetization on frequency response analysis (FRA) of power transformers’, IEEE Trans. Power Del., 2008, 23, pp. 14321438.
    13. 13)
      • 5. Mitchell, S.D., Welsh, J.S.: ‘Modeling power transformers to support the interpretation of frequency-response analysis’, IEEE Trans. Power Deliv., 2011, 26, pp. 27052717.
    14. 14)
      • 14. Aljohani, O., Abu-Siada, A.: ‘Application of digital image processing to detect short circuit turns in power transformers using frequency response analysis’, IEEE Trans. Ind. Inf., 2016, 12, (6), pp. 20622073.
    15. 15)
      • 19. Hashemnia, N., Abu-Siada, A., Islam, S.: ‘Improved power transformer winding fault detection using FRA diagnostics part 1: axial displacement simulation’, IEEE Trans. Dielectr. Electr. Insul., 2015, 22, pp. 556563.
    16. 16)
      • 13. Yousof, M.F.M., Ekanayake, C., Saha, T.K.: ‘Frequency response analysis to investigate deformation of transformer winding’, IEEE Trans. Dielectr. Electr. Insul., 2015, 22, pp. 23592367.
    17. 17)
      • 28. Abu-Siada, A., Hashemnia, N., Islam, S., et al: ‘Understanding power transformer frequency response analysis signatures’, IEEE Electr. Insul. Mag., 2013, 29, (3), pp. 4856.
    18. 18)
      • 27. Yi-Ming, L., Li-Fang, C., Yuan, L., et al: ‘An image matching algorithm based on SIFT and improved LTP’. 9th Int. Conf. on Computational Intelligence and Security (CIS), 2013, 2013, pp. 432436.
    19. 19)
      • 1. Kachler, A.J., Hohlein, I.: ‘Aging of cellulose at transformer service temperatures. Part 1: influence of type of oil and air on the degree of polymerization of pressboard, dissolved gases, and furanic compounds in oil’, IEEE Electr. Insul. Mag., 2005, 21, pp. 1521.
    20. 20)
      • 7. CIGER: ‘Mechanical-condition assessment of transformer windings using Frequency Response Analysis (FRA)’. in ed. Picher, P. (Ed.): Tutorial of Cigre WG A2.26 Convener, (CIGER, Canada, 2007), p. 21.
    21. 21)
      • 11. Behjat, V., Mahvi, M., Rahimpour, E.: ‘New statistical approach to interpret power transformer frequency response analysis: non-parametric statistical methods’, IET Sci. Meas. Technol., 2016, 10, pp. 364369.
    22. 22)
      • 9. Ryder, S.A.: ‘Methods for comparing frequency response analysis measurements’. Conf. Record of the 2002 IEEE Int. Symp. on Electrical Insulation, 2002, pp. 187190.
    23. 23)
      • 24. Plonka, G., Jianwei, M.: ‘Nonlinear regularized reaction-diffusion filters for denoising of images with textures’, IEEE Trans. Image Process., 2008, 17, pp. 12831294.
    24. 24)
      • 25. Pedrycz, W., Amato, A., Di Lecce, V., et al: ‘Fuzzy clustering with partial supervision in organization and classification of digital images’, IEEE Trans. Fuzzy Syst., 2008, 16, pp. 10081026.
    25. 25)
      • 20. Hashemnia, N., Abu-Siada, A., Islam, S.: ‘Improved power transformer winding fault detection using FRA diagnostics part 2: radial deformation simulation’, IEEE Trans. Dielectr. Electr. Insul., 2015, 22, pp. 564570.
    26. 26)
      • 10. Jong-Wook, K., ByungKoo, P., Seung Cheol, J., et al: ‘Fault diagnosis of a power transformer using an improved frequency-response analysis’, IEEE Trans. Power Deliv., 2005, 20, pp. 169178.
    27. 27)
      • 6. Gonzales Arispe, J.C., Mombello, E.E.: ‘Detection of failures within transformers by FRA using multiresolution decomposition’, IEEE Trans. Power Deliv., 2014, 29, pp. 11271137.
    28. 28)
      • 2. Abu-Siada, A.: ‘Correlation of furan concentration and spectral response of transformer oil-using expert systems’, IET Sci. Meas. Technol., 2011, 5, pp. 183188.
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