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