Ing Ind - Inf (Mag.)(ord. 270) - LC (485) MECHANICAL ENGINEERING - INGEGNERIA MECCANICA
095843 - MEASUREMENTS
The students will learn the theory behind digital acquisition and digital signal processing. Furthermore, the students will learn how to choose and apply properly in practical applications the methods and algorithms learnt in the course.
Risultati di apprendimento attesi
The students will learn the basics of:
- digital signal acquisition;
- digital signal processing in the time domain
- digital signal processing in frequency domain
Moreover, the students will learn the theoretical relationships existing between time and frequency domains.
The students will learn to choose and apply correctly the different methods discussed in the course and to choose properly the processing strategy in different practical situations.
More in details, at the end of the teaching, the student is expected to reach the following learning outcomes:
Knowledge and comprehension
Analysis of signals in time domain
Analysis of signals in frequency domain
Ability in the application of knowledge
Identify the correct data acquisition and data analysis techniques for signal processing
Avoid leakage and aliasing errors
Estimate the transfer function in SISO systems
Authonomy in judgement
select the best signal processing technique for evidencing machine misfunctions
All the competences listed above will be developed relying on the theoretical lectures and on the laboratory experiences, that are crucial for a deep understanding of the most common problems that have to be faced during the mechanical engineer working life.
Description of topics Signals in the time domain Classification of signals and their features: stationary and non-stationary signals, random and deterministic signals. Analysis in the time domain: statistical parameters and correlation Basic and time-vatying statistical parameters. Correlation functions. Advanced techniques for data acquisition Recall of the basic about signal acquisition. Aliasing and different acquisition strategies and high-level sampling techniques. The convolution integral and the theorem of convolution Dirac function, impulse response The convolution integral and the theorem of convolution Frequency response functions Signal analysis in the frequency domain Band analysis, Fourier-direct and inverse transform, frequency resolution, leakage, windowing techniques. Characterisation if systems in the frequency domain: spectra, power-spectra, cross-spectra, coherence function, estimation of the frequency response function Hilbert transform, cepstrum, time-frequency transform
Fieldbus Data Transmission, digital communication, storage and data compression. Big data introduction
Bibliography  J. Bendat and A.G. Piersol: Engineering applications of correlation and spectral analysis, John Wiley and Sons  J. Bendat and A.G. Piersol: Random Data, John Wiley and Sons  G. D’Antona, Alessandro Ferrero: Digital signal processing for Measurement systems, Springer  A. Brandt: Noise and Vibration Analysis, Signal Analysis and Experimental Procedures, Wiley  Kenneth G. McConnel: Vibration Testing, Theory and Practice, John Wiley & Sons, Inc, 1995  A.C. Neve: Introduzione al Digital Signal Processing (DSP), Schonefeld & Ziegler, 2002
Students are expected to have rooted bases in mechanical and thermal measurements, measurement chain design, mechanical system dynamics, and mathematics.
Modalità di valutazione
The attendance to the lectures and labs is not mandatory, but warmly suggested.
The exam is composed by a written and an oral part. Each single teacher can propose mid term tests.
Alternatively (teacher dependent), it could be a discussion about activities carried out by the student during the course.
The questions at both written and oral exams can be related to the contents of both lectures and labs.
In the written part, the student is expected to show a strong theoretical knowledge related to the course topics. Moreover, he/she has also to show a strong capability to choose and apply correctly the methods/algorithms in given scenarios both through exercises and theoretical questions based on simulated scenarios.
In the oral part, specific parts of the program are deepened by means of both theoretical questions and exercises. The student is expected to show the capability of managing different topics together and the ability of linking them in given cases.
The mark of the written test is the starting point for the oral test, where the mark can be increased/decreased according to the student's performance.
Bendat and Piersol, Engineering applications of correlation and spectral analysis, Editore: John Wiley and Sons
Bendat and Piersol, RandomData, Editore: John Wiley and Sons
D'Antona and Ferrero, Digital signal processing for Measurement systems, Editore: Springer
Brandt, Noise and Vibration Analysis, Signal Analysis and Experimental Procedures, Editore: Wiley
Mc Connel, Vibration Testing, Theory and Practice, Editore: John Wiley and Sons
Slides of the courseBeep
Tipo Forma Didattica
Ore di attività svolte in aula
Ore di studio autonome
Laboratorio Di Progetto
Informazioni in lingua inglese a supporto dell'internazionalizzazione
Insegnamento erogato in lingua
Disponibilità di materiale didattico/slides in lingua inglese
Disponibilità di libri di testo/bibliografia in lingua inglese
Possibilità di sostenere l'esame in lingua inglese
Disponibilità di supporto didattico in lingua inglese