We begin by defining a process as a system which generates information. Examples are a chemical reactor, a jet fighter, a gas platform, a submarine, a car, a human heart, and a weather system.
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\begin{frontmatter}
\title{Purpose and performance of measurement systems}
\author{John P. Bentleyh}
\address{Emeritus Professor of Measurement Systems
University of Teesside}
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\linenumbers
\section{Purpose and performance of measurement systems}
\label{S:1}
We begin by defining a process as a system which generates information.
Examples are a chemical reactor, a jet fighter, a gas platform, a submarine, a car, a
human heart, and a weather system.
Table 1 lists information variables which are commonly generated by processes:
thus a car generates displacement, velocity and acceleration variables, and a chemical
reactor generates temperature, pressure and composition variables.
\begin{table}[h]
\centering
\begin{tabular}{l l l}
\hline
\textbf{measured
variables.1} & \textbf{measured
variables.2} & \textbf{measured
variables.3}\\
\hline
Acceleration & Density &Current \\
Velocity & Humidity & Voltage \\
Displacement 3 & pH & Power \\
\hline
\end{tabular}
\caption{Common
information/measured
variables.}
\end{table}
\subsection{Subsection 0ne}
We then define the observer as a person who needs this information from the
process. This could be the car driver, the plant operator or the nurse.
The purpose of the measurement system is to link the observer to the process,
as shown in Figure 1. Here the observer is presented with a number which is the
current value of the information variable.
We can now refer to the information variable as a measured variable. The input
to the measurement system is the true value of the variable; the system output is the
measured value of the variable. In an ideal measurement system, the measured
\section{\textbf{}}
\begin{figure}[h]
\centering\includegraphics[width=0.4\linewidth]{radwan}
\caption{Purpose of
measurement system.}
\end{figure}
value would be equal to the true value. The accuracy of the system can be defined
as the closeness of the measured value to the true value. A perfectly accurate system
is a theoretical ideal and the accuracy of a real system is quantified using measurement
system error E, where
\begin{equation}
\label{eq:emc}
E = measured value − true value
\end{equation}
Thus if the measured value of the flow rate of gas in a pipe is 11.0 m3/h and the
true value is 11.2 m3/h, then the error E = −0.2 m3/h. If the measured value of the
rotational speed of an engine is 3140 rpm and the true value is 3133 rpm, then
E = +7 rpm. Error is the main performance indicator for a measurement system. The
procedures and equipment used to establish the true value of the measured variable
will be explained in Chapter 2.
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