首页> 外文期刊>Diffusion and Defect Data. Solid State Data, Part B. Solid State Phenomena >Supporting the empirical research on diesel engines with multi-equation models
【24h】

Supporting the empirical research on diesel engines with multi-equation models

机译:用多方程模型支持柴油机的实证研究

获取原文
获取原文并翻译 | 示例
           

摘要

Contemporary empirical researches on the object, which is combustion engine, are processed basing on the theory of experiment. Available software applications for analyzing the experimental data commonly use the multiple regression models, which enables studying effects and interactions between input values of the model and single output variable. Using multi-equation models gives free hand at analyzing measurement results because it enables the analysis of effects and interaction of many output variables. It also allows the analysis of the measurement results during dynamic process. In this paper the author presents advantages of using the multidimensional regression model on example of researches conducted on engine test stand.
机译:基于实验理论,对内燃机这一现代目标进行了实证研究。可用的用于分析实验数据的软件应用程序通常使用多元回归模型,从而可以研究模型的输入值与单个输出变量之间的关系和相互作用。使用多方程模型可以轻松地分析测量结果,因为它可以分析影响和许多输出变量之间的相互作用。它还允许在动态过程中分析测量结果。在本文中,作者通过在发动机试验台上进行的研究实例,提出了使用多维回归模型的优势。

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