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Microwave Measurement System of Density and Moisture Content Based on Focus Fuzzy Clustering Algorithm

机译:基于焦点模糊聚类算法的微波测湿系统

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A new microwave measurement method for density and moisture content of nonmetallic materials is proposed in this paper. According to this method, a measurement system is designed for density and moisture content real-time measurement on high speed product line. In this system, density and moisture content can be measured by a specially designed microwave resonator which has a center hole. When moist material pass through the center hole, density and moisture of the material will cause resonant frequency excursion (RFE) and microwave attenuation (MA) of the resonator. Under the same moisture, density is only related to MA. If RFE and MA are detected, we can calculate moisture content first, then density can be obtained after some correction is made. In order to get high accuracy, a focus fuzzy clustering algorithm is proposed. According to the response characteristic of microwave resonator and the focus fuzzy clustering algorithm, we designed a high accuracy microwave measurement system which can measure density and moisture content simultaneously. Experimental results showed that the measurement system has high accuracy on high speed production line; its accuracy is varied from 94 percent to 98 percent in different months.
机译:提出了一种新的微波测量非金属材料密度和水分的方法。根据这种方法,设计了一种测量系统,用于在高速生产线上实时测量密度和水分含量。在该系统中,密度和水分含量可以通过专门设计的带有中心孔的微波谐振器进行测量。当潮湿的材料通过中心孔时,材料的密度和水分会导致谐振器的谐振频率偏移(RFE)和微波衰减(MA)。在相同的湿度下,密度仅与MA有关。如果检测到RFE和MA,我们可以先计算水分含量,然后进行一些校正即可获得密度。为了获得较高的精度,提出了一种聚焦模糊聚类算法。根据微波谐振器的响应特性和聚焦模糊聚类算法,设计了一种可以同时测量密度和含水量的高精度微波测量系统。实验结果表明,该测量系统在高速生产线上具有较高的精度。在不同月份中,其准确性从94%到98%不等。

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