...
首页> 外文期刊>Journal of Heat Transfer >Estimating Parameters and Refining Thermal Models by Using the Extended Kalman Filter Approach
【24h】

Estimating Parameters and Refining Thermal Models by Using the Extended Kalman Filter Approach

机译:使用扩展卡尔曼滤波方法估计参数并完善热模型

获取原文
获取原文并翻译 | 示例
           

摘要

Parameter estimation is based upon a comparison of predicted deterministic model responses to data. The models are often numerical, e.g., finite volume, with intrinsic inaccuracies. In addition, the models typically assume a full knowledge of the physical processes. By using the concept of state variables and employing the extended Kalman filter approach it is possible to include additional effects in the model to achieve better agreement between the model and the data. This paper describes such an approach to the estimation of thermal conductivity in a transiently heated and cooled one-dimensional system and shows that it leads to a resolution of questions about the time behavior of the residuals previously observed in an estimation based upon the least squares analysis.
机译:参数估计基于对数据的预测确定性模型响应的比较。这些模型通常是数值的,例如有限的体积,具有固有的误差。此外,这些模型通常假定对物理过程有全面的了解。通过使用状态变量的概念并采用扩展的卡尔曼滤波器方法,可以在模型中包括其他影响,以实现模型与数据之间的更好一致性。本文介绍了一种在瞬态加热和冷却的一维系统中估算热导率的方法,并表明它可以解决有关基于最小二乘分析的估算中先前观察到的残差的时间行为的问题。 。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号