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Sensors, Transducers and automatic measurement systems

Degree course Electronic Engineering
Curriculum Curriculum unico
Learnings Orientamento unico
Academic Year 2018/2019
ECTS 12
Scientific Disciplinary Sector ING-INF/07
Year Second year
Time unit First semester
Class hours 96
Educational activity Formative educational activities

Single group

Professor CLAUDIO DE CAPUA
Objectives Synthetic description:
The course deals with sensors and the development of automatic measurement systems.

Acquisition of knowledge on:
The course aims to provide a methodological approach to the use of measuring instruments. The main objective is to make sure that the students are able to design an automatic measurement and / or data acquisition chain. The main architectures of an ATE will be studied and analyzed, starting from simple modular measurement systems up to complex automatic systems for remote measurements. Through practical laboratory experiences students will become familiar with the use of the main software development packages and popular measurement hardware in the field of electrical / electronic measurements.
Programme General architecture of a measurement system. Data acquisition systems: signal conditioning, multiplexer, sample and hold, AD/DA converters, digital memories. Analysis of sampling problems. Noise in electronic systems and noise rejection methods. Communication standard protocols and interfaces: RS232, IEEE488, Wi-Fi, Bluetooth. Remote control of digital instrumentation: LabView. Remote interfacing with the instrumentation: Waveform generator, multimeter, power supply, oscilloscope, counter, Data acquisition switch. General methodologies for elaboration and statistical analysis of the measurement data. Analysis of problems related to the temporal discretization and interpolation techniques. Realization of Automatic Measurement systems using local networks: LAN. Telemetry systems. Laboratory experiences involving the realization of automatic measurement stations; Automatic calibratin of a multimeter and of an oscilloscope, generation of an arbitrary waveform, waveform acquisition from an oscilloscope using the bus IEEE488, data acquisition systems and signal conditioning.
Metrological features of sensors. Sensor model: conversion function, influential quantities, field of measure, field of variation of the output, energetic behaviour. Characterization of the sensor. Behaviour in steady state condition. Static features: Sensitivity, Linearity, Threshold, resolution, uncertainty. The behaviour in dynamic conditions. Dynamic features: response time and frequency response. The behaviour of passive sensors. The behaviour of active sensors. Manufacturing technologies of the sensors. Main architectures of data acquisition. Sensor conditioning: purposes and criteria of the project. Resistive sensors conditioning. Reactive sensors conditioning. Voltage sensors conditioning. Measurement amplifiers. Techniques of linearization of the sensor’s characteristic. Smart sensors. “Smart” transducers: auto-compensation, auto-calibration, and auto-verification, multisensing. Web sensors. Large scale monitoring through distributed networks of sensors. Realization of a network of sensors following the guidelines of the standard IEEE-1451. The problem of data collection and processing: optimization techniques. Data processing and sensor data fusion. The problem of the fit of measurement data to the specification limits: compliance to the specifications following the Standard EN ISO 14253. Main applications in industrial and environmental fields. Practical laboratory experiences. The course is part of the program “Academy” promoted by National Instruments, during the course are learned all the contents of the modules “Labview Core 1” and “Labview Core 2”, so allowing the student to gain a deep knowledge of the software, in order to attend the exam for the base certification of the LabView knowledge CLAD.
Books Class notes, Labview Core 1 and Labview core 2 manuals, McGraw-Hill “Strumenti e metodi di misura” - Ernest O. Doebelin
Traditional teaching method Yes
Distance teaching method No
Mandatory attendance No
Written examination evaluation No
Oral examination evaluation Yes
Aptitude test evaluation No
Project evaluation No
Internship evaluation No
Evaluation in itinere No
Practice Test Yes

Further information

No document in this course

Office hours list:

Description News
Office hours by: Claudio De Capua
martedì 15:00-17:00, giovedì 15:00-17:00
No news posted
No class timetable posted
Salita Melissari - 89124 Reggio Calabria - CF 80006510806 - Fax 0965 332201 - URP:Indirizzo di posta elettronica dell'ufficio relazioni con il pubblico- PEC:Indirizzo di posta elettronica certificata dell'amministrazione
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