周 强,王亚波,王 莹,吴 祎.基于双原子库稀疏分解的力学式纸浆浓度传感器测量值补偿研究[J].中国造纸学报,2017,32(3):52-57 |
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基于双原子库稀疏分解的力学式纸浆浓度传感器测量值补偿研究 |
Measured Value Compensation of Mechanical Consistency Sensor Used for Pulp Based on Double Atom Library Sparse Decomposition |
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DOI:10.11981/j.issn.1000-6842.2017.03.52 |
中文关键词: 纸浆浓度测量精度 噪声信号 稀疏分解 流速补偿 |
Key Words:pulp consistency measuring accuracy noise signal sparse decomposition flow velocity compensation |
基金项目:陕西省教育厅专项科技项目(16JK1105);陕西省科技攻关项目(2016GY-005)。 |
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中文摘要: |
针对目前广泛使用的力学式纸浆浓度传感器测量精度较低的问题,通过研究纸浆纤维结构和力学式纸浆浓度传感器测量原理,发现了这种传感器测量精度较低的原因:第一,纸浆浓度测量信号中噪声信号难以滤除;第二,纸浆流速对纸浆浓度测量影响较大。为此,在研究纸浆浓度测量信号中噪声信号及其性质并建立纸浆浓度传感器测量模型的基础上,提出了利用稀疏分解消除纸浆浓度测量信号中各种噪声信号,同时利用纸浆浓度传感器测量模型对纸浆浓度测量值进行流速补偿。结果表明,该方法能够显著提高纸浆浓度传感器的测量精度。 |
Abstract: |
To solve the problem of low measuring precision in the mechanical consistency sensor widely used for pulp at present, by studying the pulp fiber structure and mechanical consistency sensor measuring principle, reasons of effecting the sensors measurement precision were found. First, the noise signal was difficult to filter out from the measurement signal of the pulp consistency. Second, the pulp flow velocity had a great effect on the pulp consistency measurement. Based on the study of noise signal and its nature and the establishment of consistency sensor measurement model, sparse decomposition was used to eliminate all kinds of noise from the pulp consistency signal. At the same time, consistency sensor measurement model was used to compensate the effect of pulp flow rate on the measured consistency value. Experiment results showed that this method could significantly improve the pulp consistency measuring accuracy. |
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