Optimization of Calibration Interval for Automatic Test System Based on Support Vector Regression

SUN Qun;ZHAO Ying;MENG Xiaofeng

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  • Sponsored by: China Association for Science and Technology (CAST)

    Editor-In-Chief: Xu Yida

    ISSN 1000-1093

    　

  • Hosted By: China Ordnance Society

    Published By: Acta Armamentarii

    CN 11-2176/TJ

Acta Armamentarii, a Chinese monthly journal, was first published in 1979. The journal is supervised by China Association for Science and Technology, sponsored by China Ordnance Society，and edited and published by Editorial Board of Acta Armamentarii. The Journal is included in all important domestic databases，and also collected by Engineering Index (EI, USA), Chemical Abstracts (CA, USA), Science Abstracts (SA, UK）, Abstract Journal (AJ, Russia), and Current Bibliography on Science and Technology(CBST).Acta Armamentarii has been selected into the journal Of Ordnance Science and Technology (Weapons Industry) Field Of High Quality Scientific and Technological Periodical Classification Catalogue (2022 edition), ranking T1, and the journal of Automotive Engineering Field of High Quality Scientific and technological Periodical classification Catalogue, ranking T2.
Acta Armamentarii ›› 2009, Vol. 30 ›› Issue (1) : 76-80. DOI: 10.3969/j.issn.1000-1093.2009.01.014
Paper

Optimization of Calibration Interval for Automatic Test System Based on Support Vector Regression

  • SUN Qun1, ZHAO Ying1, MENG Xiaofeng2
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Abstract

To optimize the calibration interval of automatic test system (ATS), a metrological architec?ture 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 calibra?tion inspection data.

Key words

technology of instrument and meter / automatic test system / metrological architecture / calibration interval / support vector regression / optimization

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SUN Qun, ZHAO Ying, MENG Xiaofeng. Optimization of Calibration Interval for Automatic Test System Based on Support Vector Regression. Acta Armamentarii. 2009, 30(1): 76-80 https://doi.org/10.3969/j.issn.1000-1093.2009.01.014

References

[1] 高占宝，梁旭，李行善.ATE系统校准技术研究[J].电子测 量与仪器学报，2005，19(2)： 1-5.
GAO Zhan-bao, LIANG Xu, LI Xing-shan. Technological re- searcn on ATE system calibration [ J ] . Journal of Electronic Mea?surement and Instrument，2005，19(2) :1 - 5. (in Chinese)
[2] Solomon M. Extending calibration intervals[C] //Proceedings of the IEEE International Test Conference on Test and Design Va?lidity, Washington： IEEE Computer Society, 1996，5(3)： 118 -126.
[3] Nunzi E, Panfilo G, Tavella P. Stochastic and reactive methods for the determination of optimal calibration intervals[ J]. IEEE Transactions on Instrumentation and Measurement, 2005，54 (4)： 1565-1569.
[4] Kuo H L, Liu B D. A gray system modeling approach to the pre-diction of calibration intervals[J] . IEEE Transactions on Instru-mentation and Measurement, 2005, 54(1) :297 — 304.
[5] Albright J D. Reliability enhancement of the navy metrology and calibration program[D]. California： Naval Postgraduate School, 1997.
[6] 邓乃扬，田英杰.数据挖掘中的新方法:支持向量机[M].北 京：科学出版社，2004.
DENG Nai-yang, TIaN Ying-jie. A new method in data mining： surport vector machine[M]. Beijing： Science Press, 2004. (in Chinese)
[7] 尉询楷，李应红，张朴，等.基于支持向量机的时间序列预测 模型分析与应用[J].系统工程与电子技木，2005，7(23)： 529 -532.
WEI Xun-kai，LI Ying-hong, ZHANG Pu，et al. Analysis and applications of time series forecasting model via support vector ma?chines [ J ].Systems Engineering and Electronics, 2005,27(3): 529-532. (in Chinese)

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