Transformer Winding Deformation Detection Technology Based on Pulse Coded Excitation Ultrasonic Spread Spectrum Measuring Distance
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Transformer Winding Deformation Detection Technology Based on Pulse Coded Excitation Ultrasonic Spread Spectrum Measuring Distance
Vol. 46, Issue 11, Pages: 3960-3969(2020)
作者机构:
1. 上海交通大学电工与电子技术中心
2. 国网吉林省电力有限公司电力科学研究院
作者简介:
基金信息:
DOI:
CLC:
Published Online:30 November 2020,
Published:2020
稿件说明:
移动端阅览
FENG Yi, DU Haoyang, LI Yimu, et al. Transformer Winding Deformation Detection Technology Based on Pulse Coded Excitation Ultrasonic Spread Spectrum Measuring Distance[J]. 2020, 46(11): 3960-3969.
DOI:
FENG Yi, DU Haoyang, LI Yimu, et al. Transformer Winding Deformation Detection Technology Based on Pulse Coded Excitation Ultrasonic Spread Spectrum Measuring Distance[J]. 2020, 46(11): 3960-3969.DOI:
Transformer Winding Deformation Detection Technology Based on Pulse Coded Excitation Ultrasonic Spread Spectrum Measuring Distance
摘要
针对超声波检测变压器绕组时效率低的问题
将超声波编码扩频测距技术引入到现有的超声检测技术中
同时对超声波在油–变压器外壳介质中的传播路径和波型转换进行分析。针对不同位置检测时的回波波型
提出不同类型超声波探头联合检测方法
并设计了超声波扩频测距系统。该系统能够同时发射多路携带不同信号的超声波
对变压器内部绕组的表面结构进行检测
然后利用广义互相关对回波进行分析
使得超声检测的理论精度达到±0.064mm。利用该系统对实体变压器模型进行检测
最终实验结果表明
该系统能够在不影响变压器正常运行的情况下检测变压器绕组内部结构
是一种高效的在线变压器绕组检测方法。
Abstract
To solve the problem of low efficiency in ultrasonic detection of transformer windings
the ultrasonic coding spread spectrum ranging technology is introduced into the existing ultrasonic detection technology
and the propagation path and wave form conversion of the ultrasonic wave in the oil-transformer housing medium are analyzed. Being aimed at the echo modes of different position detections
a joint detection method of different types of ultrasonic probes is proposed
and an ultrasonic spread spectrum ranging system is designed. The system can simultaneously transmit multiple ultrasonic waves carrying different signals to the internal windings of the transformer. The surface structure of the winding inside the transformer is detected
and then the echoes are analyzed by generalized cross-correlation
so that the accuracy of the ultrasonic detection can reach ±0.064 mm. The system is used to detect the physical transformer model. The final experimental results show that the system can detect the internal structure of the transformer winding without affecting the normal operation of the transformer. And it is an efficient and online transformer winding detection method.