Call for Paper - Upcoming Issues

A Solution for Fault Detection in Power Transformer using Vibration Signals and Mechanical Forces

International Journal of Electrical and Electronics Engineering
© 2018 by SSRG - IJEEE Journal
Volume 5 Issue 10
Year of Publication : 2018
Authors : Dao Duy Yen, Tran Xuan Minh and Tran Hoai Linh
10.14445/23488379/IJEEE-V5I10P101
pdf
How to Cite?

Dao Duy Yen, Tran Xuan Minh and Tran Hoai Linh, "A Solution for Fault Detection in Power Transformer using Vibration Signals and Mechanical Forces," SSRG International Journal of Electrical and Electronics Engineering, vol. 5,  no. 10, pp. 1-3, 2018. Crossref, https://doi.org/10.14445/23488379/IJEEE-V5I10P101

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.

Keywords:

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

References:

[1] Dash P.K., Panigrahi B.K., Panda G.: Power quality analysis using S-transform, IEEE Power Delivery 18, 406-411 (2003). 
[2] Bagheri, M.; Naderi, M.S.; Blackburn, T.; Phung, T.: Frequency response analysis and short-circuit impedance measurement in detection of winding deformation within power transformers. IEEE Electrical Insulation Magazine 29(3), 33-40 (2013). 
[3] Espinoza, J.R.; Perez-Rojas, C., Modeling transformers with internal faults based on magnetic circuit. Part I: Models, North American Power Symposium (NAPS), 1-6, (2011). 
[4] Espinoza, J.R.; Perez-Rojas, C.: Modeling transformers with internal faults based on magnetic circuit. Part II: Simulations. North American Power Symposium (NAPS), 4-6 (2011). 
[5] Linh Tran Hoai, Yen Dao Duy, Tuan-Anh Truong: Transformer Faults Detection Using Electrical And Mechanical Vibration Signals. The 11th SEATUC Symposium, Vietnam (2017). 
[6] Linh Tran Hoai: Neural Networks and their applications in signal processing. Hanoi University of Science and Technology Publisher (in Vietnamese), Hanoi, Vietnam (2014).