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Title: :  TRANSFORMER FAULTS DETECTION USING AND MECHANICAL VIBRATION SIGNALS
PaperId: :  27021
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 11 Issue 3 2025
DUI:    16.0415/IJARIIE-27021
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Dao Duy YenThai Nguyen University of Technology, Thai Nguyen city, Viet Nam

Abstract

Educational
fault detection, transformer model, mechanical vibration, ANSYS software.
Fault detection in transformers is an interesting and important technical task since transformers play vital roles in all power systems [1,2,3]. An accurate fault detection helps us not only to quickly repair the transformers but also allow us to isolate (and replace) the transformers before its total breakdown, which in turn will reduce the costs related to power shortage. Most of the fault detection methods base on the electrical signals only, some methods use the sensors measuring the gas components in the oil tank of the transformers, some methods use the sounds generated by partial discharging processes in the transformers’ components. But there are faults, which are difficult to be detected using the above mentioned methods. For example, the loose of coils around the magnetic cores, the small deformation of cores,... In this paper we will propose a combined method using the electrical signals and the mechanical vibrations of the transformer to help better detecting the faults. The signals are simulated for a model of transformer in ANSYS software. The numerical results will prove the correctness of the proposed solutions.

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IJARIIE Dao Duy Yen. "TRANSFORMER FAULTS DETECTION USING AND MECHANICAL VIBRATION SIGNALS" International Journal Of Advance Research And Innovative Ideas In Education Volume 11 Issue 3 2025 Page 4356-4362
MLA Dao Duy Yen. "TRANSFORMER FAULTS DETECTION USING AND MECHANICAL VIBRATION SIGNALS." International Journal Of Advance Research And Innovative Ideas In Education 11.3(2025) : 4356-4362.
APA Dao Duy Yen. (2025). TRANSFORMER FAULTS DETECTION USING AND MECHANICAL VIBRATION SIGNALS. International Journal Of Advance Research And Innovative Ideas In Education, 11(3), 4356-4362.
Chicago Dao Duy Yen. "TRANSFORMER FAULTS DETECTION USING AND MECHANICAL VIBRATION SIGNALS." International Journal Of Advance Research And Innovative Ideas In Education 11, no. 3 (2025) : 4356-4362.
Oxford Dao Duy Yen. 'TRANSFORMER FAULTS DETECTION USING AND MECHANICAL VIBRATION SIGNALS', International Journal Of Advance Research And Innovative Ideas In Education, vol. 11, no. 3, 2025, p. 4356-4362. Available from IJARIIE, http://ijariie.com/AdminUploadPdf/TRANSFORMER_FAULTS_DETECTION_USING_AND_MECHANICAL_VIBRATION_SIGNALS_ijariie27021.pdf (Accessed : ).
Harvard Dao Duy Yen. (2025) 'TRANSFORMER FAULTS DETECTION USING AND MECHANICAL VIBRATION SIGNALS', International Journal Of Advance Research And Innovative Ideas In Education, 11(3), pp. 4356-4362IJARIIE [Online]. Available at: http://ijariie.com/AdminUploadPdf/TRANSFORMER_FAULTS_DETECTION_USING_AND_MECHANICAL_VIBRATION_SIGNALS_ijariie27021.pdf (Accessed : )
IEEE Dao Duy Yen, "TRANSFORMER FAULTS DETECTION USING AND MECHANICAL VIBRATION SIGNALS," International Journal Of Advance Research And Innovative Ideas In Education, vol. 11, no. 3, pp. 4356-4362, May-Jun 2025. [Online]. Available: http://ijariie.com/AdminUploadPdf/TRANSFORMER_FAULTS_DETECTION_USING_AND_MECHANICAL_VIBRATION_SIGNALS_ijariie27021.pdf [Accessed : ].
Turabian Dao Duy Yen. "TRANSFORMER FAULTS DETECTION USING AND MECHANICAL VIBRATION SIGNALS." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 11 number 3 ().
Vancouver Dao Duy Yen. TRANSFORMER FAULTS DETECTION USING AND MECHANICAL VIBRATION SIGNALS. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2025 [Cited : ]; 11(3) : 4356-4362. Available from: http://ijariie.com/AdminUploadPdf/TRANSFORMER_FAULTS_DETECTION_USING_AND_MECHANICAL_VIBRATION_SIGNALS_ijariie27021.pdf
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