Robust surrogate measurement correction using generalised additive model
Ropkins, K., Li, H., Hawley, G., Chen, H., Tate, J., Andrews, G. and Bell, M., 2009. Robust surrogate measurement correction using generalised additive model. Chemometrics and Intelligent Laboratory Systems, 95 (2), pp. 164-169.
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The generalised additive model (GAM) was developed as a prognostic tool for the investigation of data set trends. However, it is also proposed as a viable framework for the development of surrogate measurement corrections for instrumental data sets. This hypothesis is supported by an example application, the development of a robust vehicle exhaust flow measurement correction for a flow meter with a known measurement error.
|Creators||Ropkins, K., Li, H., Hawley, G., Chen, H., Tate, J., Andrews, G. and Bell, M.|
|Uncontrolled Keywords||generalised additive model (gam),vehicle exhaust flow,measurement correction,pitot exhaust flow meter|
|Departments||Faculty of Engineering & Design|
Faculty of Engineering & Design > Mechanical Engineering
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