OVERVIEW

Measurement systems constitute a key enabling technology for industry, transportation, energy and environment.

Their design is thus considered, from the architecture, to their main functions, including data acquisition, processing and sharing through networks.

Measurement systems devoted to the monitoring and control of motion  - either artificial, as in manufacturing and in robotics, or natural, as in biomechanics and in sea waves - are studied in detail.

AIMS AND CONTENT

LEARNING OUTCOMES

Design of measuring systems, including the selection of components and architectures and the development of software for data acquisition, data processing and automatic control. Measurement of motion, forces and acoustic phenomena. Basics of signal processing

AIMS AND LEARNING OUTCOMES

Comprehension of the fundamental components in a measurement system and capability of identifying their criticalities and strengths, according to a specific application.

Development of skills in signal processing, including spectral analysis and signal filtering. 

Selection of  measurement system architectures for specific applications monitoring or automatic-control applications. 

Programming of data acquisition in the LabView ® environment, for monitoring and control

PREREQUISITES

There are no specific requirements.

TEACHING METHODS

Lectures and laboratory practice, including a training in the use of state-of-the-art data acquisition systems.

Students who have valid certification of physical or learning disabilities on file with the University and who wish to discuss possible accommodations or other circumstances regarding lectures, coursework and exams, should speak both with the instructor and with Professor Federico Scarpa (federico.scarpa@unige.it), the Polytechnic School's disability liaison.

SYLLABUS/CONTENT

The measuring system as a communication system. Conditioning of input signals: power sources, oscillators, instrumentation amplifiers, current transmission, interfacing criteria. Data acquisition boards. Microcomputers in measuring systems: hardware, software, connectivity. Data acquisition: programming (LabView) and management of data acquisition, for process monitoring and for automatic control. Processing of measurement signals: spectrum analysis and digital filtering (outline). Instrumentation networks; remote control of measuring systems. Architectures of digital measuring systems.

Design and implementation of a position servo-system and of a remote vibration-monitoring system.

Measurement of motion and forces. Case studies.

RECOMMENDED READING/BIBLIOGRAPHY

Example of representative references include the following:

Bentley, Principles of measurement systems, Prentice-Hall, 2005

G.B. Rossi, Measurement and Probability, Springer, 2014

Additional references will be provided, according to the needs of the students.

TEACHERS AND EXAM BOARD

LESSONS

LESSONS START

https://corsi.unige.it/corsi/11959/studenti-orario

Class schedule

The timetable for this course is available here: Portale EasyAcademy

EXAMS

EXAM DESCRIPTION

Written admission test and exam interview, including discussion of a design report, based on lab experience.

Students who have valid certification of physical or learning disabilities on file with the University and who wish to discuss possible accommodations or other circumstances regarding lectures, coursework and exams, should speak both with the instructor and with Professor Federico Scarpa (federico.scarpa@unige.it), the Polytechnic School's disability liaison.

ASSESSMENT METHODS

The written test aims to ascertain the acquisition of design skills.

The design report should demonstrate proficiency in laboratory practice and the capability of preparing a report according to current professional guidelines.

The exam interview aims to ascertain proper understanding of course topics.

FURTHER INFORMATION

Please ask the professor for any additional information not included in the teaching schedule.