The overall aim of the course of Industrial Measurements is to provide students with advanced knowledge and skills to orientate themselves among design, use and management of measurement systems in industrial processes depending on the technical requirements. In particular the selection criteria of the measurement system components are provided, based on an integrated approach taking into account not only the metrological and functional characteristics of the measuring devices, but also the evaluation of specifications typical of industrial applications and effective measurements. To this aim the analysis of available technologies and the good management practices for measurement instrumentation are considered. Moreover, part of the course is based on the study of specific standards, technical data-sheet and manuals as well as experimental laboratory activities.
teacher profile teaching materials
Measurement systems and signal processing for industrial applications: impedance matching, amplifiers, filtering, signal modulation and demodulation, bridge circuits, linearization, communication standards of measurement devices. Elements of digital data acquisition systems and sensor fusion. Sensor networks: fundamentals and applications.
Methods and devices for mechanical and thermal measurements in industry and manufacturing, e.g. non-invasive measurement systems, optical measurement methods, ultrasound systems , tactile sensors, MEMS, ecc. Industrial Instrumentation management
• C. W. de Silva , Sensors and actuators – Engineering System Instrumentation, CRC Press Taylor & Francis Group, 2015
• Beckwith T.G., Marangoni R.D. & Lienhard J.H, Mechanical Measurements, Pearson Prentice Hall, 2007
• R. S. Figliola, D. E. Beasley, Theory and Design for Mechanical Measurements, 6th Edition, Wiley, 2015
• Hughes, T. Hase, Measurements and their Uncertainties A practical guide to modern error analysis, Oxford University Press Inc., New York, 2010
• W. Navidi, Probabilità e statistica per l'ingegneria e le scienze, Mc Graw Hill, 2006
• F. P. Branca, Misure meccaniche, E.S.A. Editrice, Roma 1980
• P. Cappa, Sensori e Trasduttori per Misure Meccaniche e Termiche, Voll. I-III, Borgia Editore, 1994
• Statistical Quality Control Handbook, Western Electric, 1956
• M. G. Natrella, Experimental Statistics, National Bureau of Standards Handbook 91, 1963
• Douglas C.Montgomery, Introduction to Statistical Quality Control, John Wiley & Sons, Inc., 2009
• G. Malagola, A. Ponterio, La metrologia dimensionale: teoria e procedure di taratura, Società Editrice Esculapio, 2013
• A. Brunelli, Manuale di taratura degli strumenti di misura, GISI, 2012
Programme
Performance and metrological characteristics of measurement systems for industry: basics of metrology and measurement methods. Analysis and processing of dynamic measurements. Applied statistics to industrial measurements and quality control. Fundamentals of Technical Writing.Measurement systems and signal processing for industrial applications: impedance matching, amplifiers, filtering, signal modulation and demodulation, bridge circuits, linearization, communication standards of measurement devices. Elements of digital data acquisition systems and sensor fusion. Sensor networks: fundamentals and applications.
Methods and devices for mechanical and thermal measurements in industry and manufacturing, e.g. non-invasive measurement systems, optical measurement methods, ultrasound systems , tactile sensors, MEMS, ecc. Industrial Instrumentation management
Core Documentation
• W. C. Dunn, Fundamentals of Industrial Instrumentation and Process Control, McGraw-Hill, 2005• C. W. de Silva , Sensors and actuators – Engineering System Instrumentation, CRC Press Taylor & Francis Group, 2015
• Beckwith T.G., Marangoni R.D. & Lienhard J.H, Mechanical Measurements, Pearson Prentice Hall, 2007
• R. S. Figliola, D. E. Beasley, Theory and Design for Mechanical Measurements, 6th Edition, Wiley, 2015
• Hughes, T. Hase, Measurements and their Uncertainties A practical guide to modern error analysis, Oxford University Press Inc., New York, 2010
• W. Navidi, Probabilità e statistica per l'ingegneria e le scienze, Mc Graw Hill, 2006
• F. P. Branca, Misure meccaniche, E.S.A. Editrice, Roma 1980
• P. Cappa, Sensori e Trasduttori per Misure Meccaniche e Termiche, Voll. I-III, Borgia Editore, 1994
• Statistical Quality Control Handbook, Western Electric, 1956
• M. G. Natrella, Experimental Statistics, National Bureau of Standards Handbook 91, 1963
• Douglas C.Montgomery, Introduction to Statistical Quality Control, John Wiley & Sons, Inc., 2009
• G. Malagola, A. Ponterio, La metrologia dimensionale: teoria e procedure di taratura, Società Editrice Esculapio, 2013
• A. Brunelli, Manuale di taratura degli strumenti di misura, GISI, 2012
Type of delivery of the course
Traditional frontal teaching is usually conducted in the classroom (italian language). Distance learning may be eventually activated and performed by the Microsoft Teams platform. The teaching material is made available on the Moodle platform.Attendance
Class attendance is not mandatory but is strongly recommended.Type of evaluation
oral exam (in italian language). During COVID-19 total or partial lock-down the exams will be carried out by means of the Microsoft Teams platform, according to the corresponding Rectoral Decrees (see Decreto Rettorale n. 703 5/05/2020, link: http://www.uniroma3.it/articoli/disposizioni-per-gli-esami-di-profitto-decreto-rettorale-n-703-del-5-maggio-2020-136458/ ).