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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/22245

Title: Estimating uncertainty when using transient data in steady-state calculations
Authors: Buswell, Richard A.
Keywords: Uncertainty
Transient data
Steady-state detection
Condition monitoring
Fault detection
HVAC
Building energy monitoring
Issue Date: 2016
Publisher: © Elsevier
Citation: BUSWELL, R.A., 2016. Estimating uncertainty when using transient data in steady-state calculations. Measurement, 94, pp. 273-283.
Abstract: 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.
Description: This work is in closed access until 29th July 2017.
Sponsor: 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'.
Version: Accepted for publication
DOI: 10.1016/j.measurement.2016.07.084
URI: https://dspace.lboro.ac.uk/2134/22245
Publisher Link: http://dx.doi.org/10.1016/j.measurement.2016.07.084
ISSN: 0263-2241
Appears in Collections:Closed Access (Civil and Building Engineering)

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