Study of Testing on Transformers and its Significance


  • Ramesh Kumar Patel
  • Madhu Upadhyay



Transformer, DGA, Transformer Health Transformer Failures, Distribution Transformer, Real-Time Assessment


Transformers make up the main electrical network of the equipment. Failure of a transformer leads to loss of income and affects the reliability of the power supply for consumers. In order to ensure long and trouble-free operation of the transformers, various diagnostic tests are performed and corrective actions are initiated throughout their lifetime. There are many methods to access the residual life of transformers, for example short circuit tests on transformers and areas of application.


Download data is not yet available.

Author Biographies

Ramesh Kumar Patel

M Tech Scholar

NRI Institute of Research & Technology

 Bhopal, (M.P) India

Madhu Upadhyay

Head of Department

NRI Institute of Research & Technology

 Bhopal, (M.P) India


X Wang, T. Han “Transformer Fault Diagnosis Based on Stacking Ensemble Learning”2020., 02 October 2020.

Edwell T.Mharakurwa, G.N.Nyakoe “Power Transformer Fault Severity Estimation Based on Dissolved Gas Analysis and Energy of Fault Formation Technique” in Journal of Electrical and Computer Engineering2019.

T.Kari, W.Gao, D. Zhao, “An integrated method of ANFIS and Dempster-Shafer theory for fault diagnosis of power transformer,” IEEE Transactions onDielectrics and Electrical Insulation, vol.25, no.1, pp.360–371,2018.

Y. Wang,Liguo Zhang“A Combined Fault Diagnosis Method for Power Transformer in Big Data Environment” Mathematical Problems in Engineering2017

O.E. Gouda, S.M. Saleh, and S.H. El-hoshy,“Power transformer incipient faults diagnosis based on dissolved gas analysis,” Indonesian Journal of Electrical Engineering and Computer Science, vol.1, no.1, pp.10–16,2016.

G.K. Irungu, A.O. Akumu, and J.L. Munda, “Application of fuzzy logic and evidential reasoning methodologies in transformer insulation stress assessment,”IEEE Transactions on Dielectrics and Electrical Insulation, vol.23, no.3, pp. 1444–1452,2016.

N.A. Bakar and A.Abu-Siada, “Fuzzy logic approach for transformer remnant life prediction and asset management decision,” in the IEEETransactions on Dielectrics and Electrical Insulation, vol23, no.5, pp.3199–3208, 2016.

Wang, N.; Zhao, F. An Assessment of the Condition of Distribution Network Equipment Based on Large Data Fuzzy Decision-Making. Energies 2020, 13, 197.

Tran,Q.T.Davies, K.;Roose, L.Machine learning for assessing the service transformer health using an energy monitor deviceIOSR J. Electr. Electron. Eng.2020, 15,1–6




How to Cite

Patel, R. K. ., & Upadhyay, M. . (2021). Study of Testing on Transformers and its Significance. SMART MOVES JOURNAL IJOSCIENCE, 7(10), 10–13.