Data Acquisition and Processing

N. A.

Classes with informatics support, classes with discussion, group learning, brainstorming.

Comprehend measurement techniques applicable to the usual physical quantities in Mechanical Engineering. Make students aware of the importance of experimental methods to solve engineering problems and provide training that allows them to operate, configure and select automatic systems for the acquisition and processing of data from electrical transducers.

Encourage the development of new skills associated with experimental work, namely identification of problems, planning of assemblies, analysis and synthesis of information. Know how to use instrumentation, measurement and control software.

1. Introduction. Process monitoring. Control of operations and processes. Functional description of measurement systems.
2. Hardware and software configuration. Analog inputs / outputs. Digital inputs / outputs. Counters. Applications. Signal conditioning. Digitalization. Measurement fields. Types of entries. Acquisition methods. Acquisition speed. Accuracy. Transfer methods.
3. Introduction to LabVIEW: virtual instrumentation (VI). Conditional cycles. Graphical representations. Vectors and Matrices. Text files. Data acquisition.
4. Development of practical works regarding acquisition, processing and storage of electrical transducer signals.

NAO

Recommended Bibliography:

1. BEIRÃO, P. (2010). Aquisição e Processamento de Dados (Aulas Teórico-Práticas). ISEC (disponível na plataforma académica InforEstudante)

2.BEIRÃO, P. (2010). Aquisição e Processamento de Dados (Aulas Práticas). ISEC (disponível na plataforma académica InforEstudante)

3. National Instruments Corporation, (2000). LabVIEW Basics I

4. National Instruments Corporation, (1999). LabVIEW Data Acquisition Course Manual

5. Johnson, G. (2006). LabVIEW Graphical Programming, McGraw-Hill, ISBN: 0071451463 (disponível na Biblioteca do ISEC: 1-6-328)

Bishop, R. (2001). Learning with LabVIEW 6i, Prentice Hall, second edition, ISBN 0-13-032559-7 (disponível na Biblioteca do ISEC: 1-6-19)

Complementary Bibliography:

1. Bishop, R. (2004). Learning with LabVIEW 7 Express, Pearson – Prentice Hall, second edition, ISBN 0-13-042182-0

2. King, R. (2008). Introduction to Data Acquisition with LabView CD, McGraw-Hill, ISBN: 0077299612

3. Johnson, G. (1997). LabVIEW Graphical Programming: Practical Applications in Instrumentation and Control, McGrawHill, ISBN 007032915X