DEPARTAMENTO DE FÍSICA

 

Instrumentation and Data Acquisition Systems - EF+EB

Ano letivo: 2016-2017
Specification sheet

Specific details
course codecycle os studiesacademic semestercredits ECTSteaching language
1002682116pt *)

*) N.B.  if there are students who do not speak Portuguese the language is English.

Learning goals
- To understand the global architecture of data acquisition systems
- To identify and characterize the different tasks and functions of a data acquisition system
- To identify the physical and technical limitations of data acquisition systems and the associated instrumentation
- Ability to use and specify data acquisition systems
- Knowledge of basic and intermediate concepts of sensor elements and data communication networks
- Use data analysis tools for data processing (Matlab) in the scope of data acquisition systems.
Syllabus
1. Data Acquisition Systems
Generic Architecture
Characterization and Performance Evaluation
Examples

2 . Transducers
Definitions, characteristics and terminology
Main types of sensors
Calibration and compensation

3 . Signal Conditioning and Multiplexing
Measurement Bridges
Amplification
Operational Amplifiers
Instrumentation amplifiers and galvanic insulation
Input protection
Signal Sampling

4 . Noise
Intrinsic noise (fundamental ): thermal and quantum 1 / f
Modes of extrinsic noise coupling
Noise measurements
Methods for noise elimination
Grounding loops

5 . Analog-to- Digital Conversion
Periodic sampling of signals
Nyquist sampling theorem
Quantisation errors
Differential non-linearity errors
Signal to Noise Ratio
Auto-correlation and cross-correlation
Main types of ADCs

6. Analysis and filtering
Properties of analog and digital signals
Analysis of the frequency spectrum
Linear systems
Convolution
Spectral analysis
Prerequisites
Electronics; Signals and Systems
Generic skills to reach
. Competence in analysis and synthesis;
. Competence in oral and written communication;
. Competence for working in group;
. Competence in understanding the language of other specialists;
. Competence in autonomous learning;
. Knowledge of a foreign language;
. Computer Skills for the scope of the study;
. Using the internet as a communication medium and information source;
. Critical thinking;
. Research skills;
(by decreasing order of importance)
Teaching hours per semester
theory-practical classes30
laboratory classes30
total of teaching hours60

Assessment
Problem solving40 %
Exam60 %

Bibliography of reference
- Apresentações e apontamentos (v2.1) disponibilizados aos alunos

Alguns livros de referência

- Data Acquisition Fundamentals, National Instruments, 2002.
- Edward E. Lee, Pravin Varaiya, Structure and Interpretation of Signals and Systems, Addison
Wesley, 2003.
- John G. Webster, ed., Medical Instrumentation: Application and Design, 3/e, John Wiley & Sons, 1997.
- John Bently, Principles of Measurement, Prentice Hall, 2004.
- Gilbert Held, Understanding Data Communication, 7/e, Addison Wesley, 2002.
- Eva Pärt-Enander, Anders Sjöberg, Matlab 5 Handbook, Addison Wesley Longman, 1999
Teaching method
- Presentation of the syllabus with support of laboratorial classes, problem solving and programming examples and challenges.
- Students are encouraged to work alone and in groups
Resources used

Laboratório de instrumentação: Aquisição de um sinal biomédico.
Sala de computadores equipados com Matlab: Análise e processamento de sinais