| 基于广义回归神经网络的热电偶非线性校正方法研究 |
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| 引用本文： | 王晓姝,朱小良. 基于广义回归神经网络的热电偶非线性校正方法研究[J]. 江苏电机工程, 2007, 26(5): 11-13 |
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| 作者姓名： | 王晓姝 朱小良 |
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| 作者单位： | 东南大学能源与环境学院,江苏,南京,210096;东南大学能源与环境学院,江苏,南京,210096 |
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| 摘 要： | 热电偶是工业中广泛使用的测温元件,运用广叉回归神经网络对热电偶的热电势-温度分度表进行教据处理,并利用Matlab工具进行了具体分析.结果证明,该补偿方法对K型热电偶,其误差达到0.02%,训练速度为0.60 s,取得了理想的效果.该方法与已有的补偿方法相比具有更好的非线性校正精度.
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| 关 键 词： | 热电偶 神经网络 温度测量 |
| 文章编号： | 1009-0665(2007)05-0011-03 |
| 修稿时间： | 2007-05-22 |
Nonlinear Errors Correcting Method of Thermocouple Based on GRNN |
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| WANG Xiao-shu,ZHU Xiao-liang. Nonlinear Errors Correcting Method of Thermocouple Based on GRNN[J]. Jiangsu Electrical Engineering, 2007, 26(5): 11-13 |
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| Authors: | WANG Xiao-shu ZHU Xiao-liang |
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| Abstract: | Thermocouple is widely used in industry temperature measurement.This paper uses generalized regression neural network(GRNN) to process temperature-voltage table,and Matlab tools to design and train the net.The result shows that this method which accuracy is 0.02%,and speed is 0.60s has good effect on K-thermocouple.It has higher precision on nonlinear errors correcting than other existed methods. |
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| Keywords: | thermocouple neural network temperature measurement |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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