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Estimating uncertainty when using transient data in steady-state calculations

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journal contribution
posted on 11.08.2016 by Richard Buswell
When using measurement data for monitoring there is often a desire for steady-state analysis. On-line condition monitoring and fault detection systems are typical applications where the traditional way of treating transient data is to remove it using methods that require tuning using thresholds. This paper suggests an alternative approach where the uncertainty estimate in a particular variable is increased in response to the presence of transients and through propagation, varies the uncertainty in the result accordingly. The formulation of the approach is described and applied to two examples from building HVAC systems. The approach is demonstrated to be a pragmatic tool that can be used to increase the robustness of calculations from time series data.

Funding

This work is funded by the EPSRC funded project, LEEDR: Low e ort energy demand reduction, Grant number: EP/I000267/1 and the ASHRAE funded 1020-RP `Demonstration of fault detection and diagnosis methods in a real building'.

History

School

  • Architecture, Building and Civil Engineering

Published in

Measurement

Citation

BUSWELL, R.A., 2016. Estimating uncertainty when using transient data in steady-state calculations. Measurement, 94, pp. 273-283.

Publisher

© Elsevier

Version

AM (Accepted Manuscript)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

Acceptance date

28/07/2016

Publication date

2016

Notes

This paper was accepted for publication in the journal Measurement and the definitive published version is available at http://dx.doi.org/10.1016/j.measurement.2016.07.084.

ISSN

0263-2241

Language

en

Exports