Evaluation of uncertainty associated with totalisation of time-sampled data in gas quantity and energy measurements

The measurement uncertainty attributed to gas quantity and energy measurements includes among others a contribution for the calculation of the total/average from time-sampled data. The aim of this paper is to establish a procedure for evaluation of this component of uncertainty, which considers contributions related to deterministic and random variations of the input data. The principal steps of the proposed procedure are (i) separation of deterministic and random components via time-domain filtering, (ii) evaluation of uncertainty associated with deterministic component by the decimation method and (iii) evaluation of uncertainty associated with random component by statistical analysis. The paper presents this evaluation procedure for a test case of time-sampled data of the superior calorific value.

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Publication Details

Journal
Measurement Sensors
Published
2024-12-31
DOI
https://doi.org/10.1016/j.measen.2024.101572
Citations
2
Primary Topic
Scientific Measurement and Uncertainty Evaluation
Type
article
Field-Weighted Citation Impact
0.92
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article

Evaluation of uncertainty associated with totalisation of time-sampled data in gas quantity and energy measurements

Federica Gugole, G. Bobovnik, Adriaan M. H. van der Veen, Jože Kutin
2 citations
Measurement Sensors
Scientific Measurement and Uncertainty Evaluation
0.92
article

Evaluation of uncertainty associated with totalisation of time-sampled data in gas quantity and energy measurements

Federica Gugole, G. Bobovnik, Adriaan M. H. van der Veen, Jože Kutin
article en
2 citations

Abstract

The measurement uncertainty attributed to gas quantity and energy measurements includes among others a contribution for the calculation of the total/average from time-sampled data. The aim of this paper is to establish a procedure for evaluation of this component of uncertainty, which considers contributions related to deterministic and random variations of the input data. The principal steps of the proposed procedure are (i) separation of deterministic and random components via time-domain filtering, (ii) evaluation of uncertainty associated with deterministic component by the decimation method and (iii) evaluation of uncertainty associated with random component by statistical analysis. The paper presents this evaluation procedure for a test case of time-sampled data of the superior calorific value.

Measurement SensorsVol. 38
University of Ljubljana (SI), VSL National Metrology Institute (NL)
Openalex Percentile: Top 19%
Scientific Measurement and Uncertainty Evaluation
0.92
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