Two common sources of measurement error related to modal testing are translational accelerometer misalignment and cross-axis sensitivity. Both sources may cause inaccurate acceleration levels to be measured on the test response channels. These errors are of particular importance in the case of experimental to analytical model correlation. Typical experimental parameter estimation validation involves verifying the orthogonality of the experimental modal vectors with the analytical (FEA) modal vectors. Significant research by Mains has been developed in the practical area of correlating experimental and analytical modal models. This can be examined in his papers on reduction for Test-Analysis Model (TAM), and appropriate selection of test degrees-of-freedom. Ultimately, Mains research concluded that both of the discussed sensor error characteristics contribute significantly to model errors in various methods of orthogonality checks. Specifically, the research noted the need for future development of "...methods and hardware for reducing misalignment [and cross-axis] error...".
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机译：与模态测试相关的两个常见测量误差来源是翻译加速度计未对准和横轴灵敏度。两个来源可能导致在测试响应通道上测量不准确的加速度水平。在实验到分析模型相关性的情况下，这些误差特别重要。典型的实验参数估计验证涉及使用分析（FEA）模态矢量验证实验模态载体的正交性。主电源的显着研究已经在相关实验和分析模态模型的实际领域开发。 This can be examined in his papers on reduction for Test-Analysis Model (TAM), and appropriate selection of test degrees-of-freedom.最终，主电源研究得出结论，讨论的传感器误差特征都贡献了各种正交检查方法中的模型误差。具体而言，该研究指出了未来发展的“......用于减少未对准[和横轴]错误......”的方法和硬件。
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