PPCC322BE HIEE300900R0001 control module DCS PLC system original

PPCC322BE HIEE300900R0001 control module DCS PLC system original

Technical data of product parameters

To measure the flow meter reproducibility, the standard deviation of 10 measurements was used to calculate the
relative standard uncertainty (i.e., the sample standard deviation divided by the average and expressed as a
percentage) at each of the nominal flows. The flow meter reproducibility is a type A uncertainty, while all of
the other uncertainty components are type B. Using the uncertainty values given above and Equation 6 yield
the relative expanded uncertainties for the meter factors listed in the data tables and shown as error bars in the PPCC322BE HIEE300900R0001
figures.The calibration and uncertainties presented here are only valid over the range of the NIST calibration for this
flow meter. When the flow meter is used at flows below the bearing dependent rangeu (typically 10 % of PPCC322BE HIEE300900R0001
maximumvadditional uncertainties due to kinematic viscosity of the fluid being metered must be considered.
These uncertainties arise from the use of the flow meter in a fluid of different kinematic viscosity than the fluid
used during calibration and from the kinematic viscosity changing during use due to temperature changes.
Turbine flow meters are insensitive to kinematic viscosity at flows above the bearing dependent range. The
uncertainties given here are for the calibration factor of the meter. When the flow meter is applied by the
customer to measure flow, uncertainties beyond the NIST calibration must be considered. These uncertainty PPCC322BE HIEE300900R0001
components include: installation effects, long term calibration changes, temperature effects on the meter,An analysis was performed to assess the uncertainty of the calibration factors obtained for the meter under test.q, r
This process involves identifying all of the significant uncertainty components and quantifying each of them at the
68 % confidence level. Additionally, we determine the sensitivity coefficients for each component by partial
differentiation of Equation 1. The uncertainty terms are then combined by the root-sum-squares method (RSS) to
, which in turn, is multiplied by a coverage fact

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