5 credits
30.0 h + 30.0 h
Q1
Teacher(s)
Bol David coordinator; Francis Laurent;
Language
English
Prerequisites
Students are expected to master the following skills: continuous-time and discrete-time signal representation both in time and frequency domains, mathematical system representations (transfer function, impulse response, filtering), principles and properties of Fourier, Laplace and z transforms, analysis of electrical circuits based on passive components (R, L, C), in DC, transient and AC regimes, understanding of general behavior of operational amplifiers, diodes and transistors with the associated basic electronic circuits, as they are covered within the courses LFSAB1106, LELEC1370 and LELEC1530
Main themes
Our world is more and more digital with the increasing presence of information and electronic systems in industry, transportation, health cares and everyday's life. Many of the digital applications in these fields require the automatic acquisition of quantities from the physical world. In this course, we study the instrumentation chain and the sensors capable to perform this acquisition of physical quantities to translate them into analog electrical signals and then digital data.
In this course, we will present different types of sensors used for the transduction of several physical values, e.g., occupancy, mechanical, acoustic, optical, bio/chemical, ' and the associated electronic circuits for signal conditioning and data transmission. We will highlight the figures of merit of the instrumentation chain and all sources of errrors along it
In this course, we will present different types of sensors used for the transduction of several physical values, e.g., occupancy, mechanical, acoustic, optical, bio/chemical, ' and the associated electronic circuits for signal conditioning and data transmission. We will highlight the figures of merit of the instrumentation chain and all sources of errrors along it
Aims
At the end of this learning unit, the student is able to : | |
1 | With respect to the AA referring system defined for the Master in Electrical Engineering, the course contributes to the develoopment, mastery and assessment of the following skills :
After this course, the student will be able to :
|
The contribution of this Teaching Unit to the development and command of the skills and learning outcomes of the programme(s) can be accessed at the end of this sheet, in the section entitled “Programmes/courses offering this Teaching Unit”.
Content
In this course course, we study the key basic concepts in sensor systems and their associated instrumentation.
- Fundamental metrology and sensor characterisation
- Noise, non idealities and calibration in sensor systems
- Principles of transduction ruling the conversion from primary physical values to electrical values.
- Analogic signal conditioning (sensor interface, instrumentation amplifier, filters, instrumentation bridges).
- Data acquisition
- Digital signal processing (denoising) and data processing (feature extraction, event detection, classification).
- Some frequent applications in the industrial field will be considered: measure of displacement, speed, force, acceleration, pressure, temperature, light, acoustic.
Teaching methods
The course combines lectures to introduce the key concepts with project-based learning on a group project.
Evaluation methods
- Group assignements on a project during the semester.
- Individual written exam.
Online resources
Bibliography
- Transparents des cours, chapitres du livre de référence, disponibles sur Moodle
Teaching materials
- Transparents des cours, chapitres du livre de référence, disponibles sur Moodle
Faculty or entity
ELEC