Compulsory subject for the Master of Science in Electronic Engineering (first year, first term). This course is meant to extend the subjects of the electronic measurement of the bachelor course. The theoretical lessons deal with: uncertainty estimation according to the probabilistic approach, quality management of measuring instruments (calibration, traceability, metrological confirmation), analysis of the architecture of data-acquisition boards and micro-controller based boards, distributed measuring systems and industrial buses, sensors and conditioning circuitry, spectrum analysis.
Compulsory subject for the Master of Science in Electronic Engineering (first year, first term). This course is meant to extend the subjects of the electronic measurement of the bachelor course. The theoretical lessons deal with: uncertainty evaluation according to the probabilistic approach, quality management of measuring instruments (calibration, traceability, metrological confirmation), analysis of the architecture of data-acquisition boards and micro-controller based boards, distributed measuring systems and industrial buses, sensors and conditioning circuitry, spectrum analysis.
- Knowledge of the rules for the uncertainty estimation according to the probabilistic approach
- Knowledge of the most important issues related to traceability and certification of measuring instruments
- Capability of scheduling a quality-assurance program for the measuring instrumentation
- Capability of understanding the specifications and operating procedures of the modern digital instrumentation
- Knowledge of characteristics and capabilities of spectrum analysers
- Knowledge of the working principles of the most commonly used sensors
- Capability of analysing sensor specifications and selecting the most suitable conditioning circuitry
- Knowledge of the architecture of data-acquisition boards and micro-controller based measuring systems
- Knowledge of the most important architectures of complex and distributed measuring systems and industrial buses
- Capability of designing a complex measuring systems selecting the most suitable components and interconnection devices
- Knowledge of the rules for the uncertainty evaluation according to the probabilistic approach
- Knowledge of the most important issues related to traceability and certification of measuring instruments
- Capability of scheduling a quality-assurance program for the measuring instrumentation
- Capability of understanding the specifications and operating procedures of the modern digital instrumentation
- Knowledge of characteristics and capabilities of spectrum analysers
- Knowledge of the working principles of the most commonly used sensors
- Capability of analysing sensor specifications and selecting the most suitable conditioning circuitry
- Knowledge of the architecture of data-acquisition boards and micro-controller based measuring systems
- Knowledge of the most important architectures of complex and distributed measuring systems and industrial buses
- Capability of designing a complex measuring systems selecting the most suitable components and interconnection devices
Concept of physical quantity, measurement, methods and uncertainty
Uncertainty estimation according to the deterministic approach
Knowledge of working principle and use of the conventional instrumentation for electrical quantities
Knowledge of the fundamental measuring methods (direct, indirect, comparison, zero based, bridge)
Knowledge of theory and use of operational amplifiers and filters
Basic knowledge of analogue- to-digital conversion and sampling theory
Basics of probability and statistics
Concept of physical quantity, measurement, methods and uncertainty
Uncertainty evaluation according to the deterministic approach
Knowledge of working principle and use of the conventional instrumentation for electrical quantities
Knowledge of the fundamental measuring methods (direct, indirect, comparison, zero based, bridge)
Knowledge of theory and use of operational amplifiers and filters
Basic knowledge of analogue- to-digital conversion and sampling theory
Basics of probability and statistics
Uncertainty estimation according to the probabilistic approach: terms and definitions, estimation of standard uncertainty and expanded uncertainty, propagation of uncertainty, correlated and uncorrelated measurements, numerical examples (0.9 CFU).
International organization of metrology and multi-lateral agreements; national calibration systems; calibration and traceability; quality-assurance programs for measuring instrumentation (1.5 CFU).
Analysis and development of measuring systems based on data-acquisition boards and micro-controller based boards (2.0 CFU).
Distributed measuring systems and industrial buses (0.9 CFU).
Working principles of the most commonly used sensors and related conditioning circuitry (1.5 CFU).
Spectrum analysis: analogue and digital techniques (1.2 CFU).
Uncertainty evaluation according to the probabilistic approach: terms and definitions, evaluation of standard uncertainty and expanded uncertainty, propagation of uncertainty, correlated and uncorrelated measurements, numerical examples (0.9 CFU).
International organization of metrology and multi-lateral agreements; national calibration systems; calibration and traceability; quality-assurance programs for measuring instrumentation (1.5 CFU).
Analysis and development of measuring systems based on data-acquisition boards and micro-controller based boards (2.0 CFU).
Distributed measuring systems and industrial buses (0.9 CFU).
Working principles of the most commonly used sensors and related conditioning circuitry (1.5 CFU).
Spectrum analysis: analogue and digital techniques (1.2 CFU).
Theoretical lessons (44 hours). Practical lessons (9 hours). Laboratory experiments (27 hours).
The practical lessons deal with the design and the uncertainty analysis of conditioning circuitry and data acquisition systems.
During the 9 laboratory experiments, students are grouped by 4 and work on the verification of measuring instruments and on development of measuring systems based on data-acquisition boards and micro-controller based boards. During each laboratory session, students will receive a document that represents a tutorial and that includes some fields to fill out with a brief description of the project choices and with the results of the obtained measurements. These documents, delivered at the end of each laboratory session, will be evaluated and will constitute a component of the final grade.
Theoretical lessons (44 hours). Practical lessons (9 hours). Laboratory experiments (27 hours).
The practical lessons deal with the design and the uncertainty analysis of conditioning circuitry and data acquisition systems.
During the 9 laboratory experiments, students are grouped by 3 or 4 and work on the verification of measuring instruments and on development of measuring systems based on data-acquisition boards and micro-controller based boards. During each laboratory session, students will receive a document that represents a tutorial and that includes some fields to fill out with a brief description of the project choices and with the results of the obtained measurements. These documents, delivered at the end of each laboratory session, will be evaluated and will constitute a component of the final grade.
Measurement errors: theory and practice (S. Rabinovich).
ISO/IEC Guide 98-3:2008 - Uncertainty of measurement - Part 3: Guide to the expression of uncertainty in measurement.
Practical data communications for instrumentation and control (J. Park, S. Mackay, E. Wright)
On the web portal: a book on calibration, traceability and metrological confirmation of measuring instruments; a set of transparencies on the course subjects including examples of the final test questions.
Measurement errors: theory and practice (S. Rabinovich).
ISO/IEC Guide 98-3:2008 - Uncertainty of measurement - Part 3: Guide to the expression of uncertainty in measurement.
Practical data communications for instrumentation and control (J. Park, S. Mackay, E. Wright)
On the web portal: a book on calibration, traceability and metrological confirmation of measuring instruments; a set of transparencies on the course subjects including examples of the final test questions.
Modalità di esame: Prova scritta (in aula); Elaborato scritto prodotto in gruppo;
Exam: Written test; Group essay;
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The final examination aims to check the expected learning outcomes through a written test (2 hours) made up of two parts. The first part includes one problem related to the design and the uncertainty analysis of a data acquisition system (max score 9), while the second part includes 4 questions or exercises (max score 18). The evaluation is based on the correctness of the results and on the capability of designing the data acquisition system according to the measurement requirements.
During the written test, reading books or notes is not allowed, with the exception of a document provided by the teacher that summarizes the rules of uncertainty propagation according to the probabilistic approach.
The evaluation of the laboratory reports (max score 6), which are based on the completeness of the information and the correct metrological approach, will be summed to the evaluation of the written test (max score 27), thus obtaining the final grade.
Gli studenti e le studentesse con disabilità o con Disturbi Specifici di Apprendimento (DSA), oltre alla segnalazione tramite procedura informatizzata, sono invitati a comunicare anche direttamente al/la docente titolare dell'insegnamento, con un preavviso non inferiore ad una settimana dall'avvio della sessione d'esame, gli strumenti compensativi concordati con l'Unità Special Needs, al fine di permettere al/la docente la declinazione più idonea in riferimento alla specifica tipologia di esame.
Exam: Written test; Group essay;
The final examination aims to check the expected learning outcomes through a written test (2 hours) made up of two parts. The first part includes one problem related to the design and the uncertainty analysis of a data acquisition system (max score 9), while the second part includes 4 questions or exercises (max score 18). The evaluation is based on the correctness of the results and on the capability of designing the data acquisition system according to the measurement requirements.
During the written test, reading books or notes is not allowed, with the exception of a document provided by the teacher that summarizes the rules of uncertainty propagation according to the probabilistic approach and the main characteristics of industrial buses.
The evaluation is based on the correctness of the results and on the capability of designing the data acquisition system according to the measurement requirements. The evaluation of the laboratory reports (max score 6), which are based on the completeness of the information and the correct metrological approach, will be summed to the evaluation of the written test (max score 27), thus obtaining the final grade.
In addition to the message sent by the online system, students with disabilities or Specific Learning Disorders (SLD) are invited to directly inform the professor in charge of the course about the special arrangements for the exam that have been agreed with the Special Needs Unit. The professor has to be informed at least one week before the beginning of the examination session in order to provide students with the most suitable arrangements for each specific type of exam.
