TRANSFORMER FAULTS DETECTION USING AND MECHANICAL VIBRATION SIGNALS

Educational

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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