Research on Mechanical State Evaluation Method of Transformer Winding Based on vibro-acoustic Signal Fusion under Short-Circuit Impact

Lu Bai, Yumei Shi, Yingbin Li, Yukun Zhang, Lingyu Zhu, Shuyu Wu
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Abstract

A mechanical state evaluation method of transformer winding based on vibro-acoustic signal fusion under short circuit condition is presented in this paper. The special analog transformer A phase winding is studied. Transformer internal vibro-acoustic mechanism is analyzed, then the three transient vibro-acoustic characteristic is defined and extracted. The short circuit impact test platform of transformer winding is established and 22 short circuit impact tests are carried out. The transient vibro-acoustic signal of transformer and the state of winding after short circuit impact are analyzed. The results show that the damage of transformer winding under short-circuit impact is a process of accumulation, and transient vibro-acoustic signal can reflect the mechanical state of transformer winding sensitively. Finally, the SVM algorithm is used to classify the transient vibro-acoustic characteristic, which can effectively distinguish and accurately identify the different mechanical states of transformer winding. The evaluation method is innovative to evaluate the mechanical state of transformer winding.
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短路冲击下基于振声信号融合的变压器绕组机械状态评估方法研究
提出了一种基于振动声信号融合的短路状态下变压器绕组力学状态评估方法。研究了一种特殊的模拟变压器A相绕组。分析了变压器内部振声机理,定义并提取了三种瞬态振声特征。建立了变压器绕组短路冲击试验平台,进行了22次短路冲击试验。分析了变压器短路冲击后的瞬态声振信号和绕组状态。结果表明,短路冲击下变压器绕组的损伤是一个累积过程,瞬态振动声信号能灵敏地反映变压器绕组的力学状态。最后,利用支持向量机算法对暂态振动声特征进行分类,能够有效区分和准确识别变压器绕组的不同机械状态。该评价方法是对变压器绕组机械状态评价的创新。
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