USING NEURAL NETWORKS TO PREDICT THREE-PHASE TRANSFORMER FAILURES BASED ON ELECTRICAL SIGNALS AND MECHANICAL VIBRATIONS

Dao Duy Yen

USING NEURAL NETWORKS TO PREDICT THREE-PHASE TRANSFORMER FAILURES BASED ON ELECTRICAL SIGNALS AND MECHANICAL VIBRATIONS

June 2026

Vol-12, Issue-3

Paper ID: 28683

ISSN: 2395-4396

Downloads: 0

Abstract & Details

Research Area

Electrical Engineering

Keywords

Fault Detection Transformer Model Finite Elements Method Mechanical Vibration Neural Networks.

Abstract

Power system is a complex system in both structure and operation. Any incident during the system operation affects the reliability of power supply, power quality and may cause great losses. The power transformers are key elements of a power system. Thus, the online identification of the transformers’ status helps us to early diagnose the possible malfunctions, thereby will help to reduce economic losses and improve the reliability. This makes the online identification at great desire. This paper presents a method of supervising and detecting the faults in a distribution 22/0.4kV transformer based on electrical and vibration signals. The data samples are simulated using ANSYS software, the classical artificial neural network MLP is used as the classifier. The numerical results show the correctness of the proposed solutions.

License

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Author Information

#	Name	Institute / Affiliation
1	Dao Duy Yen	Thai Nguyen University of Technology - TNUT

How to Cite

Use the following formats to cite this article in your research.

APA Style

Yen, Dao Duy (2026). USING NEURAL NETWORKS TO PREDICT THREE-PHASE TRANSFORMER FAILURES BASED ON ELECTRICAL SIGNALS AND MECHANICAL VIBRATIONS. International Journal of Advance Research and Innovative Ideas In Education, 12(3), 2803-2808.

MLA Style

Yen, Dao Duy. "USING NEURAL NETWORKS TO PREDICT THREE-PHASE TRANSFORMER FAILURES BASED ON ELECTRICAL SIGNALS AND MECHANICAL VIBRATIONS." International Journal of Advance Research and Innovative Ideas In Education, vol. 12, no. 3, 2026, pp. 2803-2808.

IEEE Style

Dao Duy Yen, "USING NEURAL NETWORKS TO PREDICT THREE-PHASE TRANSFORMER FAILURES BASED ON ELECTRICAL SIGNALS AND MECHANICAL VIBRATIONS," International Journal of Advance Research and Innovative Ideas In Education, vol. 12, no. 3, pp. 2803-2808, 2026.

Vancouver Style

Yen Dao Duy. USING NEURAL NETWORKS TO PREDICT THREE-PHASE TRANSFORMER FAILURES BASED ON ELECTRICAL SIGNALS AND MECHANICAL VIBRATIONS. International Journal of Advance Research and Innovative Ideas In Education. 2026;12(3):2803-2808.

Harvard Style

Yen, Dao Duy (2026) 'USING NEURAL NETWORKS TO PREDICT THREE-PHASE TRANSFORMER FAILURES BASED ON ELECTRICAL SIGNALS AND MECHANICAL VIBRATIONS', International Journal of Advance Research and Innovative Ideas In Education, 12(3), pp. 2803-2808.

Chicago Style

Yen, Dao Duy. "USING NEURAL NETWORKS TO PREDICT THREE-PHASE TRANSFORMER FAILURES BASED ON ELECTRICAL SIGNALS AND MECHANICAL VIBRATIONS." International Journal of Advance Research and Innovative Ideas In Education 12, no. 3 (2026): 2803-2808.

Turabian Style

Yen, Dao Duy. "USING NEURAL NETWORKS TO PREDICT THREE-PHASE TRANSFORMER FAILURES BASED ON ELECTRICAL SIGNALS AND MECHANICAL VIBRATIONS." International Journal of Advance Research and Innovative Ideas In Education 12, no. 3 (2026): 2803-2808.