吴国新,徐小力,石守娟,张龙.典型热分析仪测量精度不确定度评价方法研究[J].电子测量与仪器学报,2017,31(8):1330-1335
典型热分析仪测量精度不确定度评价方法研究
Research on evaluation method for typical uncertainty measurement accuracy of thermal analysis instrument
  
DOI:10.13382/j.jemi.2017.08.023
中文关键词:  热分析仪  温度检测  不确定度评价
英文关键词:thermal analysis instrument  temperature measurement  uncertainty evaluation
基金项目:国家高技术研究发展计划(2015AA043702)、北京市属高等学校青年拔尖人才培育计划项目(CIT&TCD201404120)、北京市优秀人才培养资助D类项目(2013D005007000009)资助
作者单位
吴国新 北京信息科技大学现代测控技术教育部重点实验室北京100192 
徐小力 北京信息科技大学现代测控技术教育部重点实验室北京100192 
石守娟 北京信息科技大学现代测控技术教育部重点实验室北京100192 
张龙 北京信息科技大学现代测控技术教育部重点实验室北京100192 
AuthorInstitution
Wu Guoxin Key Laboratory of Modern Measurement & Control Technology of the Ministry of Education, Beijing Information Science & Technology University, Beijing 100192, China 
Xu Xiaoli Key Laboratory of Modern Measurement & Control Technology of the Ministry of Education, Beijing Information Science & Technology University, Beijing 100192, China 
Shi Shoujuan Key Laboratory of Modern Measurement & Control Technology of the Ministry of Education, Beijing Information Science & Technology University, Beijing 100192, China 
Zhang Long Key Laboratory of Modern Measurement & Control Technology of the Ministry of Education, Beijing Information Science & Technology University, Beijing 100192, China 
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中文摘要:
      热分析仪炉腔温度场的精密检测与控制方法是实现热分析精密定量检测分析的核心,具有高度非线性耦合强干扰多等运行模式多变的不确定性特征。采用证据理论的可靠性评估与信息融合技术,利用热传导数学模型和实际数据测量相结合原理,提出一种炉腔内温度场热流分布特征的不确定度评价方法。基于Pignistic的指标函数优化算法,建立Pignistic向量的证据相似度度量模型。通过获得静态修正因子对测量结果进行多次修正,解决系统整体温度场热流瞬态分布的检测和热损失参量化计算的估计。实验验证表明,该方法能够评价热分析仪测量精度的不确定度与准确性。
英文摘要:
      The precision detection and control method of the temperature field in the furnace chamber is the core of precision quantitative analysis. It has uncertainty characteristics of operation mode with high nonlinear, strong coupling, multiple disturbance and so on. Based on the reliability evaluation method of evidence theory, this paper presents a method to evaluate the uncertainty of the temperature field heat flux distribution in the furnace by using the information fusion technique. A method of combining heat conduction mathematical model with actual data measurement is established. Based on the Pignistic index function optimization algorithm, the Pignistic vector of the similarity measure method is established. To solve the system temperature field transient distribution of heat flux and the estimation of the thermal loss parameter, the measurement results were corrected several times by acquiring static correction factor. The experimental verification shows that the method can evaluate the uncertainty and accuracy of the measurement accuracy of the thermal analyzer.
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