针对电磁流量计浆液测量信号的处理难点,运用概率分析方法,构建了电磁流量计水流量信号和浆液流量信号的统计模型,揭示了两类信号的统计分布规律。在此基础上,提出了一种基于统计模型的信号重构滤波算法。为验证算法的有效性,研制了系统并与日本东芝公司的浆液型电磁流量计进行了对比实验。实验结果表明,浆液信号处理算法和系统是可行和有效的。
Abstract
To solve the problem of slurry measurement for electromagnetic flowmeter, the statistical signal models of both water flow-rate and slurry are built up by means of probability analysis method so as to reveal their statistical distribution patterns. And then a reconstruction-filter processing method is proposed for EMF to measure slurry. To verify the effectiveness of the algorithm, the slurry experiments are conducted to compare the performance indexes of our system with those of the slurry-type EMF made by Toshiba Company in Japan. The experimental results show that both the processing algorithm and system for slurry developed by us are feasible and effective.
关键词
计量学 /
电磁流量计 /
浆液流量 /
统计模型 /
重构 /
滤波
Key words
Metrology /
Electromagnetic flowmeter(EMF) /
Slurry /
Statistical model /
Reconstruction /
Filter
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参考文献
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基金
国家“863”计划(2008AA042207); 重庆市科学技术委员会项目(CSTC 2008AB2059)