Swedish

Every autumn semester

Automatized data acquisition is of fundamental importance for test- and measurement applications in both industry and academia. The objective of the course is to provide an overview of systems and methods to acquire and transfer measurement data in test- and industry-environments, and also to present methods to program such a system in a structured and logical way. The course is given as lectures with laboratory exercises and a task to train the student to elaborate on the material presented in the lectures. A project gives the student an opportunity to independently solve a problem for automatized data acquisition. The project aims for the student to, on his or her own, to specify the best strategy to collect measurement data for the given problem. The so specified solution shall then be programmed with methods taught in the course. The project is presented orally for the other students, and also in a written report.

LabVIEW introduction and methods and strategies for structured programming. Bus-systems such as IEEE-488 (GPIB), serial buses, VXI/PXI, Fieldbuses. Data acquisition Boards. Signal conditioning. Software for measurement systems control. Data processing. Introduction to data acquisition using MATLAB.

- Be able to communicate with an instrument from a computer via various bus interfaces
- Be able to sample data using a data acquisition board in ways that optimize for either simplicity, amount of data or speed.

- Be able to write a program in the graphical language LabVIEW in a logical and structured manner.
- Be able to use MATLAB for a basic data acquisition task
- Present, both orally and in written form, an automatized solution to a measurement pro

- Have an overview of various soft- and hardware solutions for transfer of measurement data to a computer

Lectures

Laboratory exercises

Exercises

Project

Written exam

Written report

Written assignments

Seminars given by participants

Passed compulsary parts gives the grade Passed. Higher grades after written exam.

Failed, pass

Basic courses in programming and sensor systems.

Number of credits attained in courses within the areas of Transducer Technology and Electrical Measurements, the specific topic of commenced thesis, and number of credits left until final degree.

 

Digital course material in the form of manuals can be found on the course homepage.

EEMN10F

 -09-26

Professor Thomas Johansson