基于矩形窗时域滤波算法的热导检测系统设计与应用

发布时间：2018-04-17 05:19

  本文选题：传感器技术 + 矩形窗时域滤波　； 参考：《电力系统保护与控制》2017年09期

【摘要】：变压器油中溶解气体在线监测的关键是气体检测的传感器技术,如何准确测量、分析油中二氧化碳气体的含量是这一技术的难点。为解决这一难题,设计了一种基于矩形窗时域滤波算法的热导检测系统。该系统采用新型热导传感器TCS208F,针对其输出信号小,采集分析难度大的问题,采用模拟滤波和数字滤波相结合的方法,完成热导检测系统的软硬件优化设计,实现二氧化碳气体微弱信号的采集与分析。该方法有效地抑制了各种类型的噪声干扰,提高了系统测量的精度与灵敏度,实现了微量气体浓度的准确测量,克服了传统气体热导检测的缺点。
[Abstract]:The key to on-line monitoring dissolved gas in transformer oil is the sensor technology of gas detection. It is difficult to accurately measure and analyze the content of carbon dioxide gas in the oil.To solve this problem, a thermal conductivity detection system based on rectangular window time domain filtering algorithm is designed.The system adopts a new thermal conductivity sensor TCS208F. aiming at the problem of small output signal and difficult acquisition and analysis, the system adopts the method of combining analog filter and digital filter to complete the optimization design of software and hardware of the thermal conductivity detection system.The weak signal of carbon dioxide gas is collected and analyzed.This method can effectively suppress all kinds of noise interference, improve the accuracy and sensitivity of the system, realize the accurate measurement of trace gas concentration, and overcome the shortcomings of traditional gas thermal conductivity detection.
【作者单位】： 许继电气股份有限公司;
【基金】：国家电网公司科技项目“智能高压设备传感器即插即用技术研究和产品研制”(2016GW45)
【分类号】：TN713;TP212
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本文编号：1762246