Diagnostic System of Pressure Transformer Potentials

Author(s)

Ngoc Cuong Pham ,

Download Full PDF Pages: 50-58 | Views: 485 | Downloads: 144 | DOI: 10.5281/zenodo.5040085

Volume 10 - January 2021 (01)

Abstract

The objective of the study is to study the diagnostic system of pressure transformers' problems. Based on a literature review and fact, the author has garbage the methods and analyzed the results of potential fault diagnosis systems of the pressure transformers in Vietnam

Keywords

Pressure transformers, potential problems

References

                   i.            Tapan K. Saha, (2003), “Review of modern diagnostic techniques for assessing insulation condition in aged transformers”, IEEE transactions on dielectrics and electrical insulation, vol.10, No.5, pp. 903-917.

      ii.            Zhenyaun Wang, (2000), “Artificial intelligence applications in the diagnostic of power transformer incipicent”, Virginia.

    iii.            Sey Moiul Islam, Tony Wu, Gerard Ledwich, “A Novel Fuzzy Logic Approach to Transformer Fault Diagnosis”, IEEE Transactions on Dielectrics an Electrical Insulation, Vol. 7, No.2, April 2000.

     iv.            Michel B. Hell, Marcos F. S. V. D`Angelo and Pyramo P. Costa Jr., “Power Transformer Fault Diagnosis Based on Dissolved Gas Analysis Using a Fuzzy Neural Network Approach in a Real Data Base”, 2002.

       v.            R. Naresh, Veena Sharma, and Manisha Vashisth (2008), “An Integrated Neural Fuzzy Approach for Fault Diagnosis of Transformers”, IEEE TRANSACTIONS ON POWER DELIVERY, VOL. 23, NO. 4, OCTOBER 2008, pp. 2017-2024.

     vi.            Fathiah Zakaria, Dalina Johari, Ismail Musirin (2012), “Artificial Neural Network (ANN) Application in Dissolved Gas Analysis (DGA) Methods for the Detection of Incipient Faults in Oil-Filled Power Transformer”, IEEE International Conference on Control System, Computing and Engineering, 23 - 25 Nov. 2012, Penang, Malaysia.

   vii.            N. K. DHOTE, J. B. HELONDE (2012), “Diagnosis of Power Transformer Faults based on Five Fuzzy Ratio Method”, WSEAS TRANSACTIONS on POWER SYSTEMS, Issue 3, Volume 7, July 2012, pp. 114-125.

 viii.            Er. Niti Sharma (2012), “Power Transformer Diagnosis Using Fuzzy Logic”, International Journal of Latest Research in Science and Technology, Vol.1, Issue 2: pp. 149-151, ISSN (Online): 2278-5299.

     ix.            Sherif S. M. Ghoneim, IEEE Member, Sayed A. Ward, “Dissolved Gas Analysis as a Diagnostic Tools for Early Detection of Transformer Faults”, Advances in Electrical Engineering Systems (AEES) 152 Vol. 1, No. 3, 2012, ISSN 2167- 633X, Copyright © World Science Publisher, United States.

       x.            M. SuganyaBharathi, Dr. M. Willjuice Iruthayarajan, S. Sudalai Shunmugam, L.Kalaivani,   “Interpretation   of   Dissolved   Gas   Analysis   in   Transformer Oil using Fuzzy Logic System”, International Conference on Power, Energy and Control (ICPEC), 2013.

     xi.            S. Saranya, Uma Mageswari, Natalya Roy, R. Sudha, “Comparative Study Of Various Dissolved Gas Analysis Methods To Diagnose Transformer Faults”, International Journal of EngineeringResearch and Applications (IJERA) ISSN: 2248-9622 www.ijera.com, Vol. 3, Issue 3, May-Jun 2013, pp.592-595.

   xii.            Sherif Ghoneim, Kamel A. Shoush, “Diagnostic Tool for Transformer Fault Detection Based onDissolved Gas Analysis”, IOSR Journal of Electrical and Electronics Engineering (IOSR-JEEE)e-ISSN: 2278-1676, p-ISSN: 2320-3331, Volume 9, Issue 5 Ver. III (Sep – Oct. 2014), PP 20-26.

 xiii.            Amin Samy, Sayed A. Ward, Mahmud N. Ali, “Conventional Ratio and ArtificialIntelligence (AI) Diagnostic methods for DGA in Electrical Transformers”, International Electrical Engineering Journal (IEEJ) ISSN 2078-2365, Vol. 6 (2015) No.12, pp. 2096-2102.

 xiv.            Norazhar Abu Bakar, A. Abu-Siada and S. Islam, “A Review of Dissolved Gas Analysis Measurement and Interpretation Techniques”, IEEE Electrical Insulation Magazine, May 2014.

   xv.            Hongzhong Ma, Zheng Li, P.Ju Member IEEE, Jingdong Han, Limin Zhang, “Diagnosis of Power Transformer Faults Based On Fuzzy Three-Ratio Method”, …

 xvi.            Q.su, “A FUZZY LOGIC TOOL FOR TRANSFORMER FAULT DIAGNOSIS”, SeniorMember IEEE, MIE Aust andMember of CIGRE APl 1 and AP21 Monash University, Australia.

xvii.            Deepika Bhalla, Raj Kumar Bansal, and Hari Om Gupta, “Transformer Incipient Fault Diagnosis Based on DGA using Fuzzy Logic”

Cite this Article: