- Docente: Lorenzo Peretto
- Credits: 6
- SSD: ING-IND/12
- Language: Italian
- Teaching Mode: Traditional lectures
- Campus: Bologna
- Corso: First cycle degree programme (L) in Mechanical Engineering (cod. 0927)
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from Feb 19, 2025 to Jun 12, 2025
Learning outcomes
The student acquires knowledge in the field of measurement procedures, uncertainty evaluation and signal processing; moreover he learns testing procedures and operations on a machines and systems.
Course contents
- Metrology
- Probability
- Statistics
- Statistical tests and Testing Hypotheses
- Automatic measurement systems
- Metrological characterization of the measuring instruments
- Guide to the expression of uncertainty in measurement (GUM): Assessment methods of the uncertainties of Type A and Type B
- Supplement 1 to the GUM - Monte Carlo Method
- Analysis of signals in the time domain: causal and non-causal signals; Dirac impulse; sampling of a signal; periodic repetition of a signal; periodic exponential; amplitude modulation of a signal; discrete-time signals; RMS values, Powers, Energies
- Analysis of systems in the time domain: analysis of LTI systems; causal discrete-time systems; LTI discrete systems
- System analysis in the frequency domain: Fourier Transform; Parseval Theorem; Fourier Transform of the Dirac impulse; Fourier Series; Fourier Series of a periodic signal; Sampling of a periodic signal; Leakage effect; Sampling Theorem and Aliasing effect; Discrete-Time Fourier Transform; Discrete Fourier Series
- Input conditioning circuits of measuring instruments: the Op-Amp
- Sensors and Transducers used for mechanical applications (background)
Readings/Bibliography
Educational material provided by the teacher
Teaching methods
Lectures by using slides and electronic board; laboratory experiments.
Assessment methods
Oral examination
Teaching tools
Computers with data acquisition boards and function generators for lab experiences
Office hours
See the website of Lorenzo Peretto