PTI44400 – Measurement acquisition and data processing

Module
Measurement acquisition and data processing
Measurement acquisition and data processing
Module number
PTI44400
Version: 1
Faculty
Physikalische Technik / Informatik
Level
Bachelor
Duration
1 Semester
Semester
Summer semester
Module supervisor

Prof. Dr. Maik Fröhlich
Maik.Froehlich(at)fh-zwickau.de

Lecturer(s)

Prof. Dr. Maik Fröhlich
Maik.Froehlich(at)fh-zwickau.de
Lecturer in: "Measurement acquisition and data processing"

Prof. Dr. Stefan Braun
Stefan.Braun(at)fh-zwickau.de
Lecturer in: "Measurement acquisition and data processing"

Course language(s)

English
in "Measurement acquisition and data processing"

ECTS credits

5.00 credits

Workload

150 hours

Courses

4.00 SCH (2.00 SCH Internship | 2.00 SCH Lecture with integrated exercise / seminar-lecture)

Self-study time

90.00 hours

Pre-examination(s)
None
Examination(s)

alternative Prüfungsleistung - Präsentation und Vortrag
Module examination | Examination time: 30 min | Weighting: 100% | wird in englischer Sprache abgenommen
in "Measurement acquisition and data processing"

Media type
No information
Instruction content/structure

The aim of this module is to provide a comprehensive coverage of fundamentals of instrumentation systems based on LabVIEW concepts. The focus of the module is the acquisition of data and the controlling of instrumentation systems.

Students will gain foundational knowledge of system modelling, design, analysis and implementation of control algorithms. In addition, students will be familiarised with sensors and data acquisition concepts commonly used in multidisciplinary engineering applications. Using case studies, students apply their gained knowledge working on different technical issues.

Topics covered:

  • Elements of a process control system (block diagrams)
  • Open and closed loop systems (principles and comparison of open and closed loop control)
  • Parameters used to define a transducer’s performance and how these are used to specify and select a transducer for a given application
  • Measuring process parameters such as flow, temperature, pressure, level, density, viscosity, composition (i.e. PI controller feedforward control, with two-point controller, three-point controller (split range), override control, via motorised valve with position feedback)
  • Methods whereby common physical variables are converted into electrical signals and subsequently interfaced to computer-based systems. Signal conditioning, signal transmission (telemetry)
Qualification objectives

Students gain background knowledge to design and set up measurement and control systems for technical processes and are equipped with a sound knowledge of data acquisition approaches. The practical work helps students to develop skills in characterising transducers and measurement systems and in converting physical variables into electrical signals which are then interfaced into computer systems for the purpose of control and/or data logging.

Special admission requirements

keine

Recommended prerequisites
No information
Continuation options
keine Angabe
Literature
  • S. Sumathi, P. Surekha: LabVIEW based Advanced Instrumentation Systems, Springer (2007)
Notes
No information