Objectives

The course aims to provide in-depth knowledge in measurement technology, instrumentation and control systems as basis to adopt appurtenant relevant methods and techniques in research and development.

Content

The course covers topics such as the general measurement system, calculation of measurement uncertainty, description of dynamic systems in time and frequency domain, as well as a characterization of these. Furthermore, the course covers signal and noise in measurement systems, characteristics of commonly used sensor elements, feedback systems and typical characteristics for commonly used flow instrumentation.

On completion of the course the student should have the following learning outcomes defined in terms of knowledge, skills and general competence:

Knowledge

The student

• has thorough knowledge of the elements of the general measurement system and calculation of measurement uncertainty
• has thorough knowledge on representation of dynamic systems in time and frequency domain, and the use of feedback control system techniques and PID controllers
• has advanced knowledge of standard flow instrumentation.

Skills

The student

• can use standard techniques to calculate combined measurement uncertainty in a system of measuring elements
• can describe dynamic systems in time and frequency domain and analyze these
• can use a set of selected signal processing techniques, such as autocorrelation and cross correlation

General competence

The student

• can analyze relevant measurement systems

Ordinary exam late in semester:

Oral exam