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Robust surrogate measurement correction using generalised additive model


Reference:

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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Official URL:

http://dx.doi.org/10.1016/j.chemolab.2008.10.005

Abstract

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.

Details

Item Type Articles
CreatorsRopkins, K., Li, H., Hawley, G., Chen, H., Tate, J., Andrews, G. and Bell, M.
DOI10.1016/j.chemolab.2008.10.005
Uncontrolled Keywordsgeneralised additive model (gam), vehicle exhaust flow, measurement correction, pitot exhaust flow meter
DepartmentsFaculty of Engineering & Design
Faculty of Engineering & Design > Mechanical Engineering
RefereedYes
StatusPublished
ID Code13448

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