Measurement-TransientUncertainty-REVISEDSUBMITION.pdf (455.89 kB)
Estimating uncertainty when using transient data in steady-state calculations
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
MeasurementCitation
BUSWELL, R.A., 2016. Estimating uncertainty when using transient data in steady-state calculations. Measurement, 94, pp. 273-283.Publisher
© ElsevierVersion
- 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
2016-07-28Publication date
2016Notes
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
0263-2241Publisher version
Language
- en