LABORATORY of SENSORS and SENSING SYSTEMS

Knowledge and understanding

The course will introduce students to the use of sensors, sensing systems for the realization and characterization of measurement systems. Morever, solutions will be presented for the development of multi-sensor systems and signal processing.

Applying knowledge and understanding

At the end of the course students will be able:

- develop a measurement session with the aim of sensor characterization

- implement measurement sessions exploiting sensors and conditioning electronics

- properly use signal processing methodologies and interpretation of a measurement session outcome

The course is structured in theoretical lessons and experimental sessions aimed to use knowledge on the use of sensors and sensing systems in real scenario. The experimental sessions will be organized in the form of work groups.

Above mentioened approach is in line with the course objectives which aim to implement the Transfer of Knowledge on sensors and sensing systems application.

Should teaching be carried out in mixed mode or remotely, it may be necessary to introduce changes with respect to previous statements, in line with the programme planned and outlined in the syllabus.

Implementation of measurement systems based on the use of sensors, sensing systems and signal processing. Examples of such measurement systems include:

- Potentiometers, Strain Gauges and RTD sensors.

- Capacitive and Inductive sensors

- Thermocouples, Piezoelectric and Ferroelectric sensors

- Absolute sensors (displacement, velocity, acceleration)

- Force, pressure, flux, sensors

- Digital sensors and ultrasound sensor

- embedded sensing systems

E. Doebelin: Mesurement systems, Mc Graw Hill;

Pallas-Areny J.G. Webster: Sensors and Signal Conditioning

Tutorial on Smart sensor systems and sensor networks