Theoretical analysis of vibration conditions in high voltage power equipment and on-line processing of field data

Shiling Zhang; Song Wei

doi:10.1117/12.2668981

28 March 2023 Theoretical analysis of vibration conditions in high voltage power equipment and on-line processing of field data

Shiling Zhang, Song Wei

Author Affiliations +

Proceedings Volume 12566, Fifth International Conference on Computer Information Science and Artificial Intelligence (CISAI 2022); 125661K (2023) https://doi.org/10.1117/12.2668981
Event: Fifth International Conference on Computer Information Science and Artificial Intelligence (CISAI 2022), 2022, Chongqing, China

Abstract

Through detailed formula derivation process, the 6-order modal vibration spectrum is obtained. The axial dynamic characteristics of the winding are analyzed. During the analysis, the "mass-spring-damping" dynamic analysis model of the winding is established. Combined with the modal analysis method, the dynamic displacement response of winding cake under different loads is calculated, and the frequency spectrum is analyzed. The influence of the preload on the dynamic force of the cake is obtained, and the appropriate axial preload is finally determined. This paper attempts to deduce the formula from the theoretical level to obtain the relevant physical concepts and process parameter visualization in the vibration process of high-voltage power equipment. The relationship between the displacement data of key components and time is obtained by physical model inversion. In this paper, at present, the sinusoidal excitation function is used to approximate the field complex excitation waveform, and the closed analytical solution has been expected to be obtained. For the field complex excitation waveform, numerical simulation results are obtained through numerical simulation such as boundary element method. The research content of this paper has good guiding significance for the deformation of power equipment under the action of vibration signals and operation and maintenance measures.

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Shiling Zhang and Song Wei "Theoretical analysis of vibration conditions in high voltage power equipment and on-line processing of field data", Proc. SPIE 12566, Fifth International Conference on Computer Information Science and Artificial Intelligence (CISAI 2022), 125661K (28 March 2023); https://doi.org/10.1117/12.2668981

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KEYWORDS

Vibration

Transformers

Electromagnetism

Analytical research

Data modeling

Numerical simulations

Magnetism

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