| LabVIEW设计中压力传感器的RBF神经网络温度补偿 |
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| 引用本文： | 毕海军,傅圣雪,冯遵成.LabVIEW设计中压力传感器的RBF神经网络温度补偿[J].中国海洋大学学报(自然科学版),2004,34(6):1041-1044. |
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| 作者姓名： | 毕海军 傅圣雪 冯遵成 |
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| 作者单位： | 中国海洋大学电子工程系,山东,青岛,266071 |
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| 摘 要： | 在石油平台注水压力监测系统设计中 ,采用LabVIEW虚拟仪器平台 ,嵌入逼近能力强和收敛速度快的RBF神经网络 ,以人工环境实验数据为样本进行训练 ,实现了压力传感器的智能网络温度补偿。结果显示 ,此方法能够在压力、温度变化较大的恶劣环境下 ,获得很高的补偿精度。
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| 关 键 词： | Lab VIEW 虚拟仪器 RBF网络 温度补偿 |
| 文章编号： | 1672-5174(2004)06-1041-04 |
| 修稿时间： | 2004年1月6日 |
RBF Neural Network Temperature Compensation for a Pressure Transducer Based on LabVIEW |
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| BI Hai-jun,FU Sheng-xue,FENG Zun-cheng.RBF Neural Network Temperature Compensation for a Pressure Transducer Based on LabVIEW[J].Periodical of Ocean University of China,2004,34(6):1041-1044. |
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| Authors: | BI Hai-jun FU Sheng-xue FENG Zun-cheng |
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| Abstract: | Based on the research of design platform of virtual instrument(LabVIEW) and connected with neural network technology, in this paper, the intelligent temperature compensation for a pressure transducer is achieved. It is canbe applied to the design the injection supervisory and control system of the seawater on the oil platform. In the method of temperature compensation a RBF neural network is used. It is more accurate and converges quicker and the sample data can be acquired from an experiment with a artificial environment. The application of the result shows that this design can attain effective intelligent temperature compensation for a pressure transducer at atrocious environment of different pressure and temperature, and obtain excellent compensation precision. |
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| Keywords: | LabVIEW virtual instrument RBF network temperature compensation |
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