| 标准量插入神经网络实时误差修正技术研究 |
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| 引用本文： | 卢荣胜,费业泰,叶声华,陶国治.标准量插入神经网络实时误差修正技术研究[J].计量学报,2001,22(2):81-86. |
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| 作者姓名： | 卢荣胜 费业泰 叶声华 陶国治 |
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| 作者单位： | 1. 天津大学
2. 合肥工业大学, |
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| 基金项目： | 国家自然科学基金 !(5 973 5 12 0 ) |
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| 摘 要： | 误差修正技术是提高测量仪器精度的重要途径，本详细介绍了具有时变系统误差与随机误差的非稳定动态测量过程实时误差预测修正方法，即：用标准量插入法实时分离误差，采取神经网络建模法对分离出的误差进行实时建模，跟踪误差的变化，对其进行预报修正，通过自行研制的动态测角仪对这种误差修正技术进行了验证，使该测角仪的精度提高近10倍。
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| 关 键 词： | 非稳定动态测量 实时误差修正 神经网络 标准量插入法 测量仪器 精度 |
| 文章编号： | 1000-1158(2001)02-0081-06 |
| 修稿时间： | 1999年6月23日 |
Research on Technology of Real-time Error Correction Based on Standard Value Interpolation and Neural Network Model |
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| LU Rong sheng ,FEI Ye tai ,YE Sheng hua ,TAO Guo zhi.Research on Technology of Real-time Error Correction Based on Standard Value Interpolation and Neural Network Model[J].Acta Metrologica Sinica,2001,22(2):81-86. |
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| Authors: | LU Rong sheng FEI Ye tai YE Sheng hua TAO Guo zhi |
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| Affiliation: | LU Rong sheng 1,FEI Ye tai 2,YE Sheng hua 1,TAO Guo zhi 1 |
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| Abstract: | A major method to improve measuring instrument precision with error correction is described. This paper details the technology of real time error prediction correction for time variant systematic error and random error in non stationary dynamic measurement. That is to separate the errors real timely with standard value interpolation, and then to predict and correct them with neural network model following their errors. The error correction technology has been verified in the experiment with an angle measuring instrument. By the error correction method the instrument precision increases nearly by ten times than before. |
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| Keywords: | Non stationary dynamic measurement Real time error correction Neural network Standard value interpolation |
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