Abstract

In this paper, the surface vibration signals of 500 kV autotransformer with different structures are measured, and the frequency domain characteristics of which are analyzed. Firstly, the surface vibration signal measuring points are set according to the specific arrangement of the core and windings of the transformer. Secondly, the vibration signals at different transformer measuring points under the same load and different loads are measured respectively. Finally, the frequency characteristics of the measured vibration signals are compared and analyzed. Then, use adaptive blind source separation algorithm (ABSSA) for transformer surface vibration signal processing, the two signals obtained are close to the vibration characteristics of core and windings respectively, and the same is true of the separated signals. It is proved that the accurate vibration signals of core and windings can be obtained by blind source separation, and is helpful for further analysis of the operation state of the transformer core and windings.

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