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基于石英音叉的变压器油粘度、密度和介电常数同步测量系统设计

Design of a Transformer Oil Viscosity, Density, and Dielectric Constant Simultaneous Measurement System Based on a Quartz Tuning Fork.

作者信息

Yang Hao, Chen Shijie, Ding Jiafeng

机构信息

School of Electronic Information, Central South University, Changsha 410083, China.

出版信息

Sensors (Basel). 2024 Apr 24;24(9):2722. doi: 10.3390/s24092722.

Abstract

Transformer oil, crucial for transformer and power system safety, demands effective monitoring. Aiming to address the problems of expensive and bulky equipment, poor real-time performance, and single parameter detection of traditional measurement methods, this study proposes a quartz tuning fork-based simultaneous measurement system for online monitoring of the density, viscosity, and dielectric constant of transformer oil. Based on the Butterworth-Van Dyke quartz tuning fork equivalent circuit model, a working mechanism of transformer oil density, viscosity, and dielectric constant was analyzed, and a measurement model for oil samples was obtained. A miniaturized simultaneous measurement system was designed based on a dedicated chip for vector current-voltage impedance analysis for data acquisition and a Savitzky-Golay filter for data filtering. A transformer oil test platform was built to verify the simultaneous measurement system. The results showed that the system has good repeatability, and the measurement errors of density, viscosity, and dielectric constant are lower than 2.00%, 5.50%, and 3.20%, respectively. The online and offline results showed that the system meets the requirements of the condition maintenance system for online monitoring accuracy and real-time detection.

摘要

变压器油对变压器和电力系统安全至关重要,需要进行有效监测。针对传统测量方法设备昂贵、体积庞大、实时性差以及单参数检测等问题,本研究提出一种基于石英音叉的变压器油密度、粘度和介电常数在线监测同步测量系统。基于巴特沃思 - 范戴克石英音叉等效电路模型,分析了变压器油密度、粘度和介电常数的工作机理,得到了油样的测量模型。基于用于矢量电流 - 电压阻抗分析的数据采集专用芯片和用于数据滤波的萨维茨基 - 戈莱滤波器,设计了一种小型化同步测量系统。搭建了变压器油测试平台以验证该同步测量系统。结果表明,该系统具有良好的重复性,密度、粘度和介电常数的测量误差分别低于2.00%、5.50%和3.20%。在线和离线结果表明,该系统满足状态检修系统对在线监测精度和实时检测的要求。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a34/11086059/51207bebdd8b/sensors-24-02722-g001.jpg

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