In order to make measurements comparable, the quality must be disclosed by specifying the measurement
uncertainty. The ISO/BIPM "Guide to the Expression of Uncertainty in Measurement", typically
known as "GUM" for short, and published in 1993, introduces a uniform method for determining
and indicating the measurement uncertainty. This method has been adopted worldwide by calibration
laboratories. However, some mathematical knowledge is required for the application. The
following chapters take a simplified approach to make measurement uncertainty comprehensible for
all users of temperature measuring chains.
For example, errors when installing the temperature sensors and connecting the evaluation electronics
can cause an increase in the measurement error. On top of this, there are the measurement
uncertainty components of the sensor and the evaluation electronics themselves. Following an explanation
of the measurement uncertainty components, some practical sample calculations are performed.
Familiarity with the measurement uncertainty components and their orders of magnitude, empowers
the user to reduce the individual components by changing the installation conditions or selection of
devices. The decisive factor is always the measurement uncertainty required for a measurement
task. For example, if a standard specifies limit values for the deviation of the temperature from the
setpoint value, the measurement uncertainty of the measurement method used should not exceed
one third of the limit value.
This brochure provides a tool for assessing measurement uncertainty, in particular with the
sample calculations provided in Chapter 3. If problems arise, we are happy to discuss the
specific cases with our customers and provide practical assistance.
In order to make measurements comparable, the quality must be disclosed by specifying the measurement
uncertainty. The ISO/BIPM "Guide to the Expression of Uncertainty in Measurement", typically
known as "GUM" for short, and published in 1993, introduces a uniform method for determining
and indicating the measurement uncertainty. This method has been adopted worldwide by calibration
laboratories. However, some mathematical knowledge is required for the application. The
following chapters take a simplified approach to make measurement uncertainty comprehensible for
all users of temperature measuring chains.
For example, errors when installing the temperature sensors and connecting the evaluation electronics
can cause an increase in the measurement error. On top of this, there are the measurement
uncertainty components of the sensor and the evaluation electronics themselves. Following an explanation
of the measurement uncertainty components, some practical sample calculations are performed.
Familiarity with the measurement uncertainty components and their orders of magnitude, empowers
the user to reduce the individual components by changing the installation conditions or selection of
devices. The decisive factor is always the measurement uncertainty required for a measurement
task. For example, if a standard specifies limit values for the deviation of the temperature from the
setpoint value, the measurement uncertainty of the measurement method used should not exceed
one third of the limit value.
This brochure provides a tool for assessing measurement uncertainty, in particular with the
sample calculations provided in Chapter 3. If problems arise, we are happy to discuss the
specific cases with our customers and provide practical assistance.
Gerd Scheller
Error Analysis Measurement Temperature System Measurement Uncertainty Temperature Measuring Chain JUMO Guide to the Expression of Uncertainty in Measurement“