Paper
16 December 2022 Analysis of transient sound pattern characteristics of multiple short-circuit impact in large transformer windings
Wang Weijia, Wang Xingtao, He Anming, Sun Fei, Liao Xiao
Author Affiliations +
Proceedings Volume 12500, Fifth International Conference on Mechatronics and Computer Technology Engineering (MCTE 2022); 1250039 (2022) https://doi.org/10.1117/12.2661025
Event: 5th International Conference on Mechatronics and Computer Technology Engineering (MCTE 2022), 2022, Chongqing, China
Abstract
In order to understand the relationship between short-circuit impact sound signal and winding deformation of power transformer, this paper carried out transient voiceprint experiment of multiple short-circuit impact of winding. Then, based on this, the winding deformation detection based on BOTDR is discussed, and the frequency spectrum and typical situation of transient voiceprint are analyzed. Finally, a new comprehensive analysis method of transient characteristics is proposed. Through the analysis, it can be seen that this method is accurate and can be applied to the winding state evaluation.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Wang Weijia, Wang Xingtao, He Anming, Sun Fei, and Liao Xiao "Analysis of transient sound pattern characteristics of multiple short-circuit impact in large transformer windings", Proc. SPIE 12500, Fifth International Conference on Mechatronics and Computer Technology Engineering (MCTE 2022), 1250039 (16 December 2022); https://doi.org/10.1117/12.2661025
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KEYWORDS
Transformers

Optical fibers

Analytical research

Resistance

Time-frequency analysis

Spatial resolution

Standards development

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