HFP01SC manual v1624 26/39
6 Making a dependable measurement
6.1 Uncertainty evaluation
A measurement with a heat flux sensor is called “dependable” if it is reliable, i.e.
measuring within required uncertainty limits, for most of the time and if problems, once
they occur, can be solved quickly.
In case of heat flux sensors, the measurement uncertainty is a function of:
• calibration uncertainty
• differences between reference conditions during calibration and measurement
conditions, for example uncertainty caused by temperature dependence of the
sensitivity
• the duration of sensor employment (involving the non-stability)
• application errors: the measurement conditions and environment in relation to the
sensor properties, the influence of the sensor on the measurand, the
representativeness of the measurement location
• corrections applied for example using self-calibration
It is not possible to give one figure for heat flux sensor measurement uncertainty.
Statements about the overall measurement uncertainty can only be made on an
individual basis, taking all these factors into account.
When measuring in soils, we recommend using model HFP01SC to get a higher level of
quality assurance and accuracy of the measurement. HFP01SC’s self-test partially
compensates for the temperature dependence, non-stability and the deflection error.
Guidelines for uncertainty evaluation:
1) The formal evaluation of uncertainty should be performed in ac cordance with ISO 98-3
Guide to the Expression of Uncertainty in Measurement, GUM.
2) Uncertainties are en te red in measurement equation (equation is usually Formula 0.1:
E = U/S), either as an uncertainty in E (non-representati ven ess, resistan ce er ro r and
deflection error) in U (voltage readout errors) or in S (non-stability, temperature
dependence, calibration uncertainty).
3) In case of special meas u rement conditions, typical specification values are chosen.
These should for instance account for environmental conditions (working temperature
range).
4) Among the various sources of uncertainty, some are “correlated”; i.e. present during
the entire measurement process, and not cance lling or converging to zero when
averaged over time; the off-diagonal elements of the covariance matrix are not zero.
Paragraph 5.2 of GUM.
5) Among the various sources of uncertainty, some are “uncorrelated”; cancelling or
converging to zero when averaged over time; the off-diagonal elements of the covariance
matrix are zero. Paragraph 5.1 of GUM.