A development of mathematical models is based, among others, on some data. These can be more or less reliable. In general, their verification can only be carried out when the model quality is checked up. If it comes to the point that the quality of the model developed does not satisfy the requirements, i.e. that there is a significant difference between the model and the part of reality represented by it, then the data applied for modeling are incorrect or incomplete. In practice, data for the model development originate from measurements of some signals involved. Such measurements are usually carried out with the use of special measuring systems. In general, such systems can be quite similar to each other or have some differences at some points; all depend on application. However, it can be noticed that modern systems have many common elements and components. Starting from the input signal element i.e. a sensor first of all, we can further list components of digital processing and signal conditioning, recording components, output elements and storage devices. These elements and components can be identified in measuring systems that process and measure very different signals of various amplitudes, dynamic properties, forms of energy transferred or various transmitted frequency bands.
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- Introduction to Measuring Systems
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