Sensors and measurement systems

• Introduction to measurement systems: SI-units, concepts, definitions, static and dynamic properties, structure, mathematical modeling, calibration and reference characteristics.
• Statistics: mean, standard deviation and uncertainty and regression analysis.
• Signal conversion in measuring systems: qualification of measuring principles, 2-, 3, - and 4-wire measurement systems, measuring bridges (DC and AC), measuring with several wires, smart transmitters, amplifier circuits with opamps and instrumentation amplifier.
• Measurement principles for pressure, level, flow, temperature, displacement and acceleration.
• Explosion protection in hazardous areas.
• Piping and instrumentation diagram (P&ID).

Knowledge: The candidate can explain

• The most common terms and definitions used in measurement systems.
• The structure and properties of typical measurement systems.
• The most common principles for statistical analysis of measurement data.
• The most common principles for signal conversion in measurement systems.
• The most common principles for measuring pressure, level, flow, temperature, displacement and acceleration.
• Advantages, disadvantages and limitations of the various measurement principles.
• EX-areas and EX-certification of instruments.

Skills: The candidate can

• Modeling and calibrate measurement systems.
• Analyze measurement data with statistical methods.
• Design and analyze electronic circuits for signal conversion in measurement systems.
• Assess which measurement principles are relevant for a given situation.
• Make simple EX-calculations.
• Read and understand P&ID.

Digitization: The course helps the candidate learn about digital management and communication, digital user interface, and the use of modern development tools.

Lectures, team-work, home-exercises, lab-exercises, self-study.