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## MEASUREMENT AND INSTRUMENTATION

CODE 66229 2023/2024 6 cfu during the 3nd year of 8720 INGEGNERIA MECCANICA (L-9) - GENOVA ING-IND/12 Italian GENOVA 1° Semester AULAWEB

## OVERVIEW

Measurement are an essential part in decision making. Decisions taken by humans, such as in a testing procedure, or automatically by the system, such as in an ABS or ESP onboard a vehicle, are strongly influenced by the quality of measurement. Therefore, measurement design includes both the selection of proper sensors and devices and the evaluation of  measurement uncertainty.

The course will introduce the functioning and operation principles, as well as the application, of key instruments for industrial engineering applications, the measurement principles, and basics of statistical analysis. The course will provide general criteria to select simple measurement systems for a given application, based on different physical measurement principles, on the uncertainty analysis, the signal conditioning, and the data recording.

## AIMS AND CONTENT

### LEARNING OUTCOMES

Operative comprehension of the foundations of measurement, including elements of probability and statistics, static and dynamic analysis of measuring systems, evaluation of uncertainty, calibration, components selection, signal conditioning, measurement of mechanical and thermal quantities.

### AIMS AND LEARNING OUTCOMES

The students will learn the general measurement principles and the physical working principles of the main measurement instruments. The students will be able to analyse a measurement chain discussing static and dynamic functionalities, using methods and technical approaches typical of measurement expertise. Furthermore, the students will be able to evaluate the reliability of a measurement result and analyse the uncertainty associated to a given measurement chain.

Finally, the students will be able to deepen their knowledge about measurement systems and instrumentation by autonomous bibliography research on books, papers or specific periodicals.

### TEACHING METHODS

Lectures, numerical case-studies and laboratory practice.

### SYLLABUS/CONTENT

Elements of probability and statistics: probability, random variables, variance and covariance, linear regression.

Evaluation of measurement uncertainty, calibration, dynamic measurement.

Sensors: seismic, elastic, strain gages, thermo-resistances, thermocouples, capacitive, inductive.

Signal conditioning: potentiometer and bridge circuits, demodulators, amplifiers, filters, interference reduction and grounding.

Voltmeters, A/D converters, current-to-voltage converters.

Metrological infrastructures. Length, temperature, force and vibration measurement.

Laboratory practice in strain force and vibration measurement.

Recent reference textbooks include

• Morris, Langari, Measurement and Instrumentation, Elsevier, 2011
• Dekking et alii, A modern introduction to probability and statistics, Springer, 2005

Futher indications will be provided during the course.

## TEACHERS AND EXAM BOARD

### Exam Board

GIOVANNI BATTISTA ROSSI (President)

VITTORIO BELOTTI

GIANCARLO CASSINI

MARTA BERARDENGO (President Substitute)

FRANCESCO CRENNA (President Substitute)

## LESSONS

### LESSONS START

https://corsi.unige.it/8720/p/studenti-orario

### Class schedule

All class schedules are posted on the EasyAcademy portal.

## EXAMS

### EXAM DESCRIPTION

• Written test, concerning uncertainty evaluation and calibration.
• Presentation and discussion of a report, based on lab activity,
• Generic exam interview.

Students with SLD, with disabilities, or with other regularly certified special educational needs will agree with the teacher on the exam method and the compensatory instruments, by contacting the instructor at least 10 days before the exam. They will also be able to take advantage of the additional time required by law.

### ASSESSMENT METHODS

The written test aims to ascertain acquisition of generic measurement methods, such as uncertainty evaluation and/or processing of calibration data.

The report is based on a laboratory experiment and written according to recommended practice for testing reports. It should give evidence that the student is able to apply generic measurement methods to actual data and to report according to recommended practice standards.

The interview concerns measurement components, their functioning principles and their proper selection and application.

### Exam schedule

Date Time Location Type Notes