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Misure e Strumentazione per l'Automazione
Measurements and Instrumentation for Automation
Alessandro Freddi

Seat Ingegneria
A.A. 2016/2017
Credits 9
Hours 72
Period I
Language ENG

Prerequisites
None

Learning outcomes
KNOWLEDGE AND UNDERSTANDING:
The module aims to provide knowledge and skills on instrumentation for measuring different physical quantities for the control and supervision of automation systems. It includes both the theoretical elements for the design of supervision systems, and the description of the key components in data acquisition systems.
CAPACITY TO APPLY KNOWLEDGE AND UNDERSTANDING:
The student will be able to apply the acquired knowledge and competence to design systems for measuring physical quantities for control and supervision of automation systems, and to manage data acquired by existing systems for supervision purposes. These skills will integrate those acquired in other modules, thus granting the student the capability to design intelligent automation systems, taking into account both efficiency and safety.
TRANSVERSAL SKILLS:
The module provides in-depth analysis in the form of exercises, case studies or projects which the students can carry out during the exam preparation. In this way the students can develop judgment skills through a critical analysis of data and / or problems arising from the real world. The in-depth analysis in the form of collaborative projects also requires team work and reporting, thus helping to enhance both communication and teamwork skills.

Program
Lecture (66 hours) This course aims to provide a deep knowledge in the fields of management and design of data acquisition systems for measuring several physical quantities required for control and supervision of automated systems. The main subjects are stated in the following. - Basic principles of supervision and diagnosis systems. - Fault detection techniques. - Fault diagnosis and fault tolerant systems. - Sensors for automation. - Signal conditioning, transmission and processing. Practical (6 hours) The students can practice with acquisition systems and signal processing.

Development of the examination
LEARNING EVALUATION METHODS
Evaluation consists in both a written and oral examination. During the written examination the student must solve a problem, while during the oral examination the student must answer questions on the different subjects of the course. The written examination can be replaced by the presentation and discussion of a project, agreed upon in advance and carried out by the student autonomously.

LEARNING EVALUATION CRITERIA
During the examination, the student should prove to possess knowledge and competence to: • design and develop fault detection, diagnosis and fault-tolerant systems; • choose, size and manage data acquisition systems for automation; • analyse and design signal conditioning and transmission systems.

LEARNING MEASUREMENT CRITERIA
In order to positively pass the examination, the student should prove a comprehensive knowledge of the subjects addressed within the course, expressed with a proper technical vocabulary, together with the competence to analyze data and/or problems derived from the real world. The highest mark is attained by proving an exhaustive knowledge, expressed with a complete technical vocabulary, together with a critical analysis competence.

FINAL MARK ALLOCATION CRITERIA
The final mark is out of 30. The written examination requires the student to solve a problem. The oral examination requires the student to answer to two questions. Both the problem and each of the two questions have the same weight. The presentation and discussion of a project replaces the written examination. The highest mark with honour will be attained by students who prove a complete knowledge of the subjects addressed within the course.

Recommended reading
The course material is available on the University Learning Management System (LMS). Students interested to deepen the topics of the course can refer to the following textbooks. - R. Isermann, “Fault-Diagnosis Systems: An Introduction from Fault Detection to Fault Tolerance”, Springer-Verlag Berlin, 2006. - J. Fraden, “Handbook of Modern Sensors – Physics, Designs and Applications”, Springer, 2010. - G. Magnani, G. Ferretti, P. Rocco, “Tecnologie dei sistemi di controllo”, McGraw-Hill, Milano, 2007. - G. Bertoni, M. E. Penati, S. Simonini, “I componenti dell'Automazione ”, Esculapio, 2001. - G. Cariolaro, A. Molinari, “Elaborazione Numerica dei Segnali-Sistemi”, Edizioni Scientifiche Telettra, 1979. - R. Isermann, “Fault-Diagnosis Applications: Model-based Conditon Monitoring: Actuators, Drives, Machinery, Plants, Sensors, and Fault-tolerant Systems”, Springer, 2011. - L. H. Chiang, R. D. Braatz, E. L. Russell, “Fault Detection and Diagnosis in Industrial Systems”, Springer-Verlag London, 2000. - W. Boyes, “Instrumentation Reference Book”, Butterworth Heinemann, 2009. - B. Siciliano, L. Sciavicco, L. Villani, G. Oriolo, “Robotica, modellistica, pianificazione e controllo”, McGraw-Hill, Milano, 2008. - A. V. Oppenheim , R. W. Schafer, “Elaborazione numerica dei segnali”, Franco Angeli Editore, 2010.

Courses

• Ingegneria Informatica e dell'Automazione (Corso di Laurea Magistrale (DM 270/04))