78496 - Instrumentation and Measurement Methods for Electrical Systems M

Course Unit Page

Academic Year 2018/2019

Learning outcomes

The course provides the fundamentals of signal theory, the architecture of electronic instruments used in power systems and the methodologies for the evaluation of measurement uncertainty in such applications. At the end of the course students are able: to evaluate the propagation of uncertainty through complex measurement algorithms such as those implemented in the Smart Grids; to choose the sensors to be used in power system applications according to the kind of measurement functions required; to condition the output of such sensors; to correctly set the data acquisition system; to analyze the collected data  in time domain as well as frequency domain.

Course contents

Fundamentals of Metrology
Fundamentals of Probability and Statistics
Automatic measurement systems: generality, virtual measurement instruments, sensors and transducers, signal conditioning, fundamentals of S&H, ADC and DSP
Evaluation of measurement uncertainty in  automatic measurement systems :  uncertainty sources,  GUM, numerical methods, application examples
Continuous-Time Signals
Discrete-time signals 
Signal sampling: sampling theorem (Aliasing), leakage, windowing techniques

Digital filters: FIR and IIR

Readings/Bibliography

  • Notes of the teacher
  • D'Antona, Gabriele, Ferrero, Alessandro, "Digital Signal Processing for Measurement Systems: Theory and Applications", Springer. (suggested book)

Teaching methods

  • Projection of slides
  • Insights on the blackboard

Assessment methods

Written exam

Teaching tools

Teaching materials is available on IOL.

Office hours

See the website of Roberto Tinarelli