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ELE380_1

Instrumentation Systems

This is the study programme for 2019/2020. It is subject to change.


Introduction to instrumentation of engineering systems, with emphasis on control systems. A selection of sensors and actuators is presented, as well as how to use, control and interface these in a modern engineering context.

Learning outcome

Knowledge:
  • Good knowledge of a selection of sensors and actuators and the most important physical principles and modes of operation.
  • Fundamental understanding of metrology (measurement science).
  • Relevant knowledge about signal processing and system theory.

Skills:
  • Be able to identify suitable sensors and actuators.
  • Be able to account for instrument principles and limitations.
  • Be able to plan and describe a system of instruments.
  • Be able to convert, process, transfer and record signals.
  • Be able to present signals and measurements.

General competence:
  • Understand how to plan and describe a system.
  • Possess knowledge of language usage and terminology related to instrumentation and systems.

Contents

  • Physical principles for sensors and actuators.
  • Static and dynamic, linear and non-linear transfer characteristics.
  • Conversion and processing of sensor and actuator signals.
  • Instrument interfacing and transmission and recording of signals.
  • Presentation of measurements and signals.
  • Common sources of noise and error.
  • Redundancy and fault detection.
  • Fundamental metrology (SI system, uncertainty, statistics and calibration).
  • Block diagrams, description and planning of systems.

Required prerequisite knowledge

ELE100 Electrical Engineering 1, MAT100 Mathematical Methods 1

Recommended previous knowledge

ING100 Introductory course for engineers - Computer science and electrical engineering, STA100 Probability and Statistics 1

Exam

Written exam and project report
Weight Duration Marks Aid
Written exam6/104 hoursA - FAll.
Project report4/10 A - F
Project report in groups counts 40 %
4 hours individual written exam counts 60 %

Coursework requirements

Compulsory Lab. work , Compulsory theoretical exercises
  • 8 laboratory assignments (6 of 8 must be approved to access final exam).
  • 4 theory assignments (2 of 4 must be approved to access final exam).

Compulsory work requirements (theory and lab assignments) must be approved by the instructor before a given deadline.
Laboratory assignments must be completed at the times published and in the groups that are assigned and published via the learning management system. Absence due to illness or for other reasons must be reported as soon as possible to the instructor or laboratory supervisor. One cannot expect that provisions for completion of the assignments at other times are made unless alternative arrangements have been agreed upon.
Failure to have the mandatory assignments approved or graded prevents access to the final exam. In practice all mandatory assignments must be completed before the last week of lecturing ends.

Course teacher(s)

Course coordinator
Arnfinn Aas Eielsen
Coordinator laboratory exercises
Jon Fidjeland , Romuald Karol Bernacki

Method of work

3 hours lecturing, 1 hour theoretical assignments and 4 hours laboratory assignments every week on average. A project assignment (approx. 25 hours) comes in addition.

Overlapping courses

Course Reduction (SP)
Instrumentation (ELE220_1) 10

Open to

Industrial Automation and Signal Processing - Master's Degree Programme - 5 year

Course assessment

Usually by questionnaire and/or orally in accordance with current guidelines.

Literature

  • Alan S Morris, Reza Langari, "Measurement and Instrumentation", 2nd Edition, Academic Press, 2016.
  • Papers and text-book excerpts made available through current learning management system.
  • Lecture notes, theoretical and laboratory assignments.


This is the study programme for 2019/2020. It is subject to change.

Sist oppdatert: 18.11.2019

History