Study-unit ELECTRONIC MEASUREMENTS
| Course name | Computer science and electronic engineering |
|---|---|
| Study-unit Code | A003146 |
| Curriculum | Ingegneria elettronica |
| Lecturer | Alessio De Angelis |
| Lecturers |
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| Hours |
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| CFU | 9 |
| Course Regulation | Coorte 2022 |
| Supplied | 2024/25 |
| Learning activities | Caratterizzante |
| Area | Ingegneria elettronica |
| Sector | ING-INF/07 |
| Type of study-unit | Obbligatorio (Required) |
| Type of learning activities | Attività formativa monodisciplinare |
| Language of instruction | Italian |
| Contents | This course aims at providing knowledge and skills related to Measurement Theory, measurement of electric quantities, and modern measurement instrumentation. Lab activities are envisioned, to consolidate both knowledge and skills. |
| Reference texts | Teaching material provided by the instructor |
| Educational objectives | Learning Objectives - Understand the main aspects of Measurement Theory - Understand the main methods for measuring electrical quantities - Understand methods for estimating and reducing measurement uncertainties, their use in compliance testing - Understand techniques for measurement and data acquisition. - Understand the architecture and usage of electronic measurement instrumentation (multimeters, oscilloscopes, counters, spectrum analyzers) and data acquisition systems in practice. Target skills - Ability to design and implement a system for the measurement of electrical quantities - Skill in the selection and implementation of systems for conditioning electrical quantities measured. - Ability to select and use electronic measurement instrumentation - Ability to estimate the measurement uncertainty associated with a given measurement - Ability to perform compliance verification - Ability to design and use data acquisition systems. |
| Prerequisites | For a better understanding, skills related to courses of Calculus I/II, Physics B, Probability Theory, Signal Theory, Circuit Theory, and Electronics should be already acquired |
| Teaching methods | Classroom lectures, lab activities. |
| Other information | For any questions, or scheduling meetings, contact the teacher: alessio.deangelis@unig.it |
| Learning verification modality | The exam consists of a written test and an oral test. The written test lasting 2 hours aims to ascertain the knowledge acquired and the ability to connect topics in order to solve problems of a practical nature. The written test consists of ten multiple-choice questions and two exercises to be solved by numerical calculations. The oral test gives the student an opportunity to show other aspects of his or her preparation during a dialogue with the committee lasting about 20-25 minutes. |
| Extended program | Part I - Measurement Theory - Introduction and definitions; - Empirical cognitive processes and measurement scales; - Measurement uncertainty: definitions and evaluation methods; Probabilistic approach. Intrinsic, interaction and instrumental uncertainty; Type A, B and compound uncertainty. Extended uncertainty, coverage factors, compliance checks; - Metrological traceability and the International System, calibration; - Uncertainty evaluation in indirect measurements, law of propagation of uncertainties; Part II - Circuits for signal conditioning. - Measurement bridges: Wheatstone bridge, double weighting and substitution method, deflection and AC bridges; - Operational amplifier: assumption of ideality, inverting, non-inverting configuration, differential, CMRR, sensitivity, gain-bandwidth product, noise sources; - Op-amp-based circuits: voltage follower, summers, filters, integrator, differentiator, instrumentation amplifier (INA), rectifiers, logarithmic amplifier. Positive feedback: Schmitt trigger, relaxation oscillator. Performance metrics; - Laboratory exercises on measurement bridges and op-amp based circuits; - Classroom exercises on conditioning circuits and uncertainty calculation; Part III - A/D Converters. - Introductory notes. sampling, quantization, and encoding. Sample and Hold; - Flash converters: architecture, midrise/midtread distinction. Sources of uncertainty; - Flash converters interleaved, multistep, successive approximations, voltage-time, double integration; - Digital-to-Analog converter, potentiometric DAC, with current output, sigma-delta; Part IV - Instrumentation. - Digital multimeter: architecture, load effect, 2- and 4-wire resistance measurement, metrological characteristics, measurement uncertainty; - Digital oscilloscope: architecture, triggering, memory management, equivalent-time sampling, frequency response, rise time; - Measurement of electrical quantities in industry: range extension, voltamperometric method, measurement transformers, wattmeter, current clamp; - Universal counter: architecture, fundamental blocks; - Spectrum analyzer: functionality, classification, architecture of superheterodyne spectrum analyzer, performance parameters, FFT spectrum analyzer; - Data acquisition systems: architecture, use and performance parameters; - Classroom exercises on evaluating uncertainty in measurements with instrumentation; - Laboratory exercises: building measurement circuits. Use of instrumentation (which includes multimeters, oscilloscopes, power supplies, generators) to solve practical problems and characterize measurement uncertainty. Use of software for measurement data acquisition and processing. |