Study of Testing on Transformers and its Significance
DOI:
https://doi.org/10.24113/ijoscience.v7i10.414Keywords:
Transformer, DGA, Transformer Health Transformer Failures, Distribution Transformer, Real-Time AssessmentAbstract
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.
Downloads
Metrics
References
X Wang, T. Han “Transformer Fault Diagnosis Based on Stacking Ensemble Learning”2020. https://doi.org/10.1002/tee.23247, 02 October 2020. DOI: https://doi.org/10.1002/tee.23247
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. DOI: https://doi.org/10.1155/2019/9674054
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. DOI: https://doi.org/10.1109/TDEI.2018.006746
Y. Wang,Liguo Zhang“A Combined Fault Diagnosis Method for Power Transformer in Big Data Environment” Mathematical Problems in Engineering2017 DOI: https://doi.org/10.1155/2017/9670290
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. DOI: https://doi.org/10.11591/ijeecs.v1.i1.pp10-16
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. DOI: https://doi.org/10.1109/TDEI.2015.005560
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. DOI: https://doi.org/10.1109/TDEI.2016.7736886
Wang, N.; Zhao, F. An Assessment of the Condition of Distribution Network Equipment Based on Large Data Fuzzy Decision-Making. Energies 2020, 13, 197. DOI: https://doi.org/10.3390/en13010197
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
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2021 Ramesh Kumar Patel, Madhu Upadhyay
This work is licensed under a Creative Commons Attribution 4.0 International License.
IJOSCIENCE follows an Open Journal Access policy. Authors retain the copyright of the original work and grant the rights of publication to the publisher with the work simultaneously licensed under a Creative Commons CC BY License that allows others to distribute, remix, adapt, and build upon your work, even commercially, as long as they credit you for the original creation. Authors are permitted to post their work in institutional repositories, social media or other platforms.
Under the following terms:
-
Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
