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基于支持向量机的智能差压变送器非线性校正研究
引用本文:朱献忠,付敬奇,闵亮.基于支持向量机的智能差压变送器非线性校正研究[J].仪表技术,2011(6):1-3,6.
作者姓名:朱献忠  付敬奇  闵亮
作者单位:1. 上海宝钢工业检测公司,上海,201900
2. 上海大学,机电工程与自动化学院,上海,200072
摘    要:传感器或仪表的非线性特性是影响其测量精度的重要指标之一。文章采用支持向量机(SVM)的方法进行智能差压变送器非线性校正,选取RBF核函数,由于它数值限制条件少、模型相对简单,因此利用它可以隐式地将训练数据映射到高维空间,实现非线性变换中的线性分类,得到用于函数拟合模型的SVM。实验数据仿真表明,算法取得了较好的效果,非线性度达到±0.03%F.S,为差压变送器的非线性校正提供了一种新的方法。

关 键 词:差压变送器  非线性校正  支持向量机

The Research o Non-linear Correction of Intelligent Differential Pressure Transmitter Based on Support Vector Machine
ZHU Xian-zhong,FU Jing-qi,MIN Liang.The Research o Non-linear Correction of Intelligent Differential Pressure Transmitter Based on Support Vector Machine[J].Instrumentation Technology,2011(6):1-3,6.
Authors:ZHU Xian-zhong  FU Jing-qi  MIN Liang
Affiliation:ZHU Xian-zhong1,FU Jing-qi2,MIN Liang2(1.Shanghai Baostell Industry Inspection Corp.,Shanghai 201900,China,2.School of Machinery Electric and Automation,Shanghai University,Shanghai 200072,China)
Abstract:The nonlinear character is the main index which affects measuring accuracy.The research of correct nonlinear errors making use of support vector machine for intelligent differential pressure transmitter is introduced in this paper.RBF is chosen as kernel function,which has fewer numerical constraint conditions and comparatively simple model.Thus,we can use the function to map the training data into the high dimension space,realize the linear classification of the nonlinear transform,gets the SVM for functio...
Keywords:differential pressure transmitter  non-linearity correction  support vector machine(SVM)  
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