| 基于支持向量回归的自动测试系统校准间隔动态优化 |
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| 引用本文： | 孙群,赵颖,孟晓风. 基于支持向量回归的自动测试系统校准间隔动态优化[J]. 兵工学报, 2009, 30(1): 76-80 |
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| 作者姓名： | 孙群 赵颖 孟晓风 |
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| 作者单位： | 聊城大学,汽车与交通工程学院,山东,聊城,252059;北京航空航天大学,仪器科学与光电工程学院,北京,100083 |
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| 摘 要： | 针对自动测试系统(ATS)校准间隔的优化问题，建立了ATS的计量体系结构，分析了校准监控数据的特征，提出一种基于支持向量回归( SVR)的校准间隔预测模型，进行校准间隔的优化。仿真实验表明：SVR模型克服了校准监控数据小样本的特点，预测精度较高，缓解了ATS不足计量和过剩计量、的矛盾。
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| 关 键 词： | 仪器仪表技术 自动测试系统 计量体系结构 校准间隔 支持向量回归 优化 |
Optimization of Calibration Interval for Automatic Test System Based on Support Vector Regression |
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| SUN Qun,ZHAO Ying,MENG Xiao-feng. Optimization of Calibration Interval for Automatic Test System Based on Support Vector Regression[J]. Acta Armamentarii, 2009, 30(1): 76-80 |
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| Authors: | SUN Qun ZHAO Ying MENG Xiao-feng |
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| Affiliation: | 1. School of Automobile and Transportation Engineering, Liaocheng University, Liaocheng 252059, Shandong, China; 2.School of Instrumentation Science and Opto-Electronics Engineering, Beihang University, Beijing 100083, China |
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| Abstract: | To optimize the calibration interval of automatic test system(ATS),a metrological architecture was established and the characters of calibration inspection data were analyzed,and a predicted model of calibration interval based on support vector regression(SVR) was proposed.The simulated results show that the model has higher prediction precision than normal prediction models,mitigates the contradiction between insufficient and excess metrics under the condition of small sample of calibration inspection data... |
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| Keywords: | technology of instrument and meter automatic test system metrological architecture calibration interval support vector regression optimization |
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