The Use of Absolute-Value Terms in Regression Modeling of Multi-Piece Force Balances (Invited)

Kammeyer, Mark; Ulbrich, Norbert

doi:10.2514/6.2015-3382

Cited by 8 publications

(3 citation statements)

References 8 publications

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“…This characteristic requires the use of absolute value terms of the loads in regression models of its outputs if the Iterative Method is used for the data analysis (see Ref. [2] and [6] for more detail). Each output can be approximated by the product of a constant, i.e., its primary gage sensitivity, and the related primary load component.…”

Section: Regression Model Definitionmentioning

confidence: 99%

Development of a Non-Iterative Balance Load Prediction Algorithm for the NASA Ames Unitary Plan Wind Tunnel

Ulbrich

Amaya

L'Esperance

2020

AIAA Scitech 2020 Forum

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Section: Regression Model Definitionmentioning

confidence: 99%

Development of a Non-Iterative Balance Load Prediction Algorithm for the NASA Ames Unitary Plan Wind Tunnel

Ulbrich

Amaya

L'Esperance

2020

AIAA Scitech 2020 Forum

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“…The entire analysis was performed by using NASA's BALFIT software package (see Ref. [8] for more detail). Absolute value terms were included in the regression model of the calibration data in all cases because the balance is known to have bi-directional normal and 10 American Institute of Aeronautics and Astronautics side force gage outputs.…”

Section: A General Remarksmentioning

confidence: 99%

Comparison of Electrical Output Format Options for the Analysis of Strain-Gage Balance Calibration Data

Ulbrich

2019

AIAA Aviation 2019 Forum

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Fundamental characteristics of three gage output formats are discussed that may be used to both interpret and analyze wind tunnel strain-gage balance data. The first output format uses raw outputs, i.e., absolute voltage measurements, for the analysis. This choice requires an intercept term in the regression model of the outputs if the Iterative Method is chosen for the load prediction. Raw outputs can be used for the analysis of all known output characteristics as long as the Iterative Method is applied. However, raw outputs cannot be used to analyze data of a balance with bi-directional outputs if the Non-Iterative Method is chosen for the analysis. The second output format, i.e., difference type 1, uses the difference between raw outputs and the natural zeros of the balance gages for the analysis. In this case, the use of the intercept term becomes optional. Analysis results for difference type 1 will exactly match analysis results obtained by using raw outputs as long as identical math models are used for the regression analysis. In addition, difference type 1 may be used to analyze data of a balance with bi-directional outputs if an analyst prefers to process data using the Non-Iterative Method. The third output format, i.e., difference type 2, uses the difference between raw outputs and the outputs of the zero load point of a load series for the data analysis. The application of this format is only recommended if the maximum magnitude of all tare loads of a given balance calibration data set is less than two percent of capacity. Data from the calibration of a force balance is used to illustrate the application of the three gage output formats.

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“…This balance design specific characteristic can be described as a dependency of the primary sensitivities of the normal and side force bridges on the sign of the related primary gage loads (see Refs. [1], [8], and [9] for a detailed discussion of this issue). Consequently, assuming that a primary gage output of a force balance is plotted versus the related primary gage load (or vice versa), the resulting data point set may be approximated by two straight lines of different slopes that are joined together near zero load.…”

Section: Regression Modelmentioning

confidence: 99%

The Use of Absolute-Value Terms in Regression Modeling of Multi-Piece Force Balances (Invited)

Cited by 8 publications

References 8 publications

Development of a Non-Iterative Balance Load Prediction Algorithm for the NASA Ames Unitary Plan Wind Tunnel

Development of a Non-Iterative Balance Load Prediction Algorithm for the NASA Ames Unitary Plan Wind Tunnel

Comparison of Electrical Output Format Options for the Analysis of Strain-Gage Balance Calibration Data

Assessment of the Uniqueness of Wind Tunnel Strain-Gage Balance Load Predictions

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