Basic Consideration for Accuracy Improvement of TPA Method Employing Running Data
Basic Consideration for Accuracy Improvement of TPA Method Employing Running Data
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利用运行数据提高TPA方法精度的基本考虑
DOI：
10.1299/kikaic.77.1720
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发表时间：
2011
期刊：
影响因子：
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通讯作者：
Kousuke Noumura
中科院分区：
文献类型：
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作者：
J. Yoshida;Kousuke Noumura
在这项研究中，我们考虑了一种计算方法，以准确地获得运行转移路径分析中使用的主成分回归方法的转移函数。在运行传递路径分析方法中，正确提取由传递函数组成的主成分中的噪声成分是非常重要的。然后，尝试应用统计验证方法提取主成分中的噪声成分。该方法以各主成分对输出信号的概率显著程度作为降噪标准，而不是传统方法中使用的主成分大小。随后，通过简单的仿真验证了该方法的降噪性能，并将统计方法和常规方法的性能进行了比较。结果表明，与常规方法相比，应用统计方法有效地降低了计算的传递函数对噪声的影响。从分析结果可以看出，采用统计验证法的降噪方法具有准确获取传递函数的能力，并认为使用新方法将提高运行传递路径分析方法的精度。
In this study, we considered a calculation method to obtain accurately transfer functions employed in running transfer path analysis using principal component regression method. In the running transfer path analysis method, extracting noise components correctly in principal components, which consist of transfer functions, is important. Then, we tried to apply statistical verification method for extracting the noise components in the principal components. In the method, we set probability significance level of each principal component toward output signal as noise reduction standard instead of using the size of principal component that is used in conventional method. Subsequently, we verified the noise reduction performance through simple simulation and compared the performance of the statistical method and that of the conventional method. As results, noise influence was reduced from calculated transfer function by applying the statistical method effectively better than that of the conventional method. From these analytical results, it was clarified that the noise reduction method using statistical verification method has ability to obtain accurately transfer functions and considered that using the new method will increase the accuracy of running transfer path analysis method.