Predictive Model for Incipient Faults in Oil-Filled Transformers

Efosa Igodan; Michael Osajeh; Linda Usiosefe

doi:10.35377/saucis...1414115

EN

Predictive Model for Incipient Faults in Oil-Filled Transformers

Abstract

The power transformer is an invaluable piece of device in the power system. To prevent catastrophic failures and the ensuing power outages, the status of a transformer linked to a system must be examined for any possible faults. Despite using DGA as a global tool for detecting faults, it is limited by the inability to accurately solve the problem associated with results variability due to the intrinsic nature of the IEC TC 10 database. This study proposed a data-driven fault/defect diagnostic model using four ensemble models with three base classifiers respectively. The base classifiers are comprised of SVM, C4.5 decision tree, and naive Bayes while the ensemble methods are comprised of stacking, voting, boosting and bagging respectively. The DGA dataset used comprises seven features and 168 instances split into training (i.e. 56%) and test (i.e. 44%) datasets respectively. The results indicate that C4.5 obtained a 98.33% accuracy while stacking obtained a 99.89% accuracy as the best-performing base and ensemble models respectively. The high classification performance accuracy achieved by our proposed models indicates its capacity for real-world applications. It can be applied to advance automation in mobile-based technology.

Keywords

Ethical Statement

It is declared that during the preparation process of this study, scientific and ethical principles were followed, and all the studies benefited from are stated in the bibliography

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Details

Primary Language

English

Subjects

Software Engineering (Other)

Journal Section

Research Article

Authors

Efosa Igodan ^*
0000-0003-2102-3597
Nigeria

Michael Osajeh
0009-0000-8917-9446
Nigeria

Linda Usiosefe
0009-0000-7425-4204
Nigeria

Early Pub Date

August 29, 2024

Publication Date

August 31, 2024

Submission Date

January 3, 2024

Acceptance Date

July 1, 2024

Published in Issue

Year 1970 Volume: 7 Number: 2

DOI

https://doi.org/10.35377/saucis...1414115

IZ

https://izlik.org/JA24ZF87SR

Cite

RIS / Bibtex

APA

Igodan, E., Osajeh, M., & Usiosefe, L. (2024). Predictive Model for Incipient Faults in Oil-Filled Transformers. Sakarya University Journal of Computer and Information Sciences, 7(2), 302-313. https://doi.org/10.35377/saucis...1414115

AMA

1.Igodan E, Osajeh M, Usiosefe L. Predictive Model for Incipient Faults in Oil-Filled Transformers. SAUCIS. 2024;7(2):302-313. doi:10.35377/saucis.1414115

Chicago

Igodan, Efosa, Michael Osajeh, and Linda Usiosefe. 2024. “Predictive Model for Incipient Faults in Oil-Filled Transformers”. Sakarya University Journal of Computer and Information Sciences 7 (2): 302-13. https://doi.org/10.35377/saucis. 1414115.

EndNote

Igodan E, Osajeh M, Usiosefe L (August 1, 2024) Predictive Model for Incipient Faults in Oil-Filled Transformers. Sakarya University Journal of Computer and Information Sciences 7 2 302–313.

IEEE

[1]E. Igodan, M. Osajeh, and L. Usiosefe, “Predictive Model for Incipient Faults in Oil-Filled Transformers”, SAUCIS, vol. 7, no. 2, pp. 302–313, Aug. 2024, doi: 10.35377/saucis...1414115.

ISNAD

Igodan, Efosa - Osajeh, Michael - Usiosefe, Linda. “Predictive Model for Incipient Faults in Oil-Filled Transformers”. Sakarya University Journal of Computer and Information Sciences 7/2 (August 1, 2024): 302-313. https://doi.org/10.35377/saucis. 1414115.

JAMA

1.Igodan E, Osajeh M, Usiosefe L. Predictive Model for Incipient Faults in Oil-Filled Transformers. SAUCIS. 2024;7:302–313.

MLA

Igodan, Efosa, et al. “Predictive Model for Incipient Faults in Oil-Filled Transformers”. Sakarya University Journal of Computer and Information Sciences, vol. 7, no. 2, Aug. 2024, pp. 302-13, doi:10.35377/saucis. 1414115.

Vancouver

1.Efosa Igodan, Michael Osajeh, Linda Usiosefe. Predictive Model for Incipient Faults in Oil-Filled Transformers. SAUCIS. 2024 Aug. 1;7(2):302-13. doi:10.35377/saucis. 1414115

Öz

Predictive Model for Incipient Faults in Oil-Filled Transformers

Abstract

Keywords

Ethical Statement

References

Details

Primary Language

Subjects

Journal Section

Authors

Early Pub Date

Publication Date

Submission Date

Acceptance Date

Published in Issue

DOI

IZ

Cite