ELECTRIC MEASUREMENTS

Course objectives

KNOWLEDGE AND UNDERSTANDING. The course aims at providing the basic knowledge needed to perform electrical and electronic measurements. Specific emphasis is given to the metrological and uncertainty evaluation aspects. CAPABILITY TO APPLY KNOWLEDGE AND UNDERSTANDING. The theoretical part of the course is completed and complemented by a series of laboratory experiments which will allow the student to put into practice the concepts learnt and to acquire the fundamental skills for performing the basic measurements encountered in the field of electronic engineering. MAKING AUTONOMOUS JUDGEMENTS. Laboratory activities aim at allowing the student to make autonomous judgements; the actual autonomy reached by the student is assessed by means of a specific practical session during the final examination. COMMUNICATE SKILLS. The experimental activities include group work, which enhances the student communication skills and interaction capabilities. LEARNING SKILLS. The didactic paradigm of the course urges the student to autonomously acquire new technical knowledge, related to the course syllabus, mainly as a result of the problem solving approach of experimental acitivites.

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EMANUELE PIUZZI Lecturers' profile

Program - Frequency - Exams

Course program
MEASUREMENT AND UNCERTAINTY: physical quantities and their measurement; measurement errors and uncertainty; presentation of results. MEASUREMENT UNITS AND STANDARDS: international system of units; base and derived measurement units; measurement standards. DIGITAL MULTIMETERS: mean-value converters; the digital multimeter; specifications of a numerical voltmeter; disturbance rejection; AC voltmeters. DIGITAL OSCILLOSCOPES: analog-to-digital conversion; digital oscilloscope structure; vertical channel; trigger; sampling modes; accuracy of a digital oscilloscope; compensated probes. FREQUENCY COUNTERS: instrument structure and functioning principle; direct frequency or period measurement; time delay measurement. AUTOMATIC TEST EQUIPMENT: automatic test equipment (ATE) structure; main interface standards; programming and management of an ATE system. REAL-TIME SPECTRUM ANALYZERS: Frequency-domain analysis; The digital spectrum analyzer; DFT and FFT; leakage and windowing; Specifications of a spectrum analyzer. LABORATORY EXPERIMENTS: measurements with a digital multimeter; measurements with a digital oscilloscope; LabVIEW software practice.
Prerequisites
Required: knowledge about the main electrical and magnetic quantities. Important: ability to analyze and solve electrical circuits. Useful: fundamentals of probability and random variables. Useful: basic programming skills.
Books
Teaching and didactic material available at http://mwl.diet.uniroma1.it/MisEl/BELR/materiale.html Umberto Pisani, Misure elettroniche. Strumentazione elettronica di misura, Politeko, 1999. Carlo Offelli, Dario Petri: Lezioni di strumentazione elettronica, Città Studi Edizioni, 1994. Mario Savino, Fondamenti di scienza delle misure, La Nuova Italia Scientifica, 1992.
Teaching mode
Classroom lectures and laboratory activities
Frequency
Attending laboratory sessions is strongly recommended.
Exam mode
The examination consists in: - laboratory exercise; - oral discussion.
Bibliography
Bureau International des Poids et Mesures (BIPM), The International System of Units Joint Committee for Guides in Metrology (JCGM), International vocabulary of metrology - Basic and general concepts and associated terms Joint Committee for Guides in Metrology (JCGM), Evaluation of measurement data - Guide to the expression of uncertainty in measurement Bureau International des Poids et Mesures (BIPM), Mise en pratique for the definition of the ampere and other electric units in the SI Joint Committee for Guides in Metrology (JCGM), Evaluation of measurement data - Supplement 1 to the "Guide to the expression of uncertainty in measurement" - Propagation of distributions using a Monte Carlo method G. Wubbeler, M. Krystek, C. Elster, Evaluation of measurement uncertainty and its numerical calculation by a Monte Carlo method, Measurement Science and Technology, vol. 19, 2008
Lesson mode
Classroom lectures and laboratory activities
  • Lesson code1021844
  • Academic year2024/2025
  • CourseElectronics Engineering
  • CurriculumCurriculum unico
  • Year2nd year
  • Semester2nd semester
  • SSDING-INF/07
  • CFU6
  • Subject areaAttività formative affini o integrative