- Docente: Roberto Tinarelli
- Credits: 6
- SSD: ING-INF/07
- Language: Italian
- Teaching Mode: Traditional lectures
- Campus: Bologna
- Corso: Second cycle degree programme (LM) in Electrical Energy Engineering (cod. 9066)
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