Valid for: 2024/25
Faculty: Faculty of Engineering LTH
Decided by: PLED BME
Date of Decision: 2024-04-16
Effective: 2024-05-08
Main field: Technology
Depth of study relative to the degree requirements: First cycle, in-depth level of the course cannot be classified
Mandatory for: F2
Language of instruction: The course will be given in Swedish
Measurement technologies are increasingly being integrated into everyday products such as mobile phones which e.g. detects movement to rotate the screen and activity watches that measures heart rate and step count. Modern cars have lane keeping assistance that detects road markings, distance meters to vehicles in front to prevent collisions, reverse assistance that detects distance to obstacles behind, temperature sensors that measure engine temperature and road surface temperature. In light of the increased use of autonomous systems, e.g. self-driving cars and the development of drones with their own decision-making ability, all of which depend on measurements of physical quantities such as speed, direction, position or environmental variables such as temperature, wind speed or humidity in the roadway, understanding of and skills in measurement techniques are becoming increasingly vital.
Within the field of medical technology, the possibilities for diagnostics, including the possibility of conducting telemedicine or self-care, increase with the possibilities of measurement technology. Within the manufacturing industry, various industrial processes naturally require comprehensive and accurate measurement methods to monitor and regulate various manufacturing processes and material flows. Most sensors that measure physical and chemical quantities produce an electrical signal which in turn must be detected and interpreted.
The problem picture includes that there is often a certain measurement uncertainty whose magnitude must be assessed or that the signal has been exposed to various interferences that must be restricted. The purpose of the course is to provide a basic understanding of, and the skills to use, the measurement technologies and and its associated techniques that detect such electrical signals, as well as to provide understanding of and skills to assess measurement uncertainties and to restrict interference.
Knowledge and understanding
For a passing grade the student must
Competences and skills
For a passing grade the student must
Judgement and approach
For a passing grade the student must
Fundamental concepts like loading of the measurement objects, influence of noise, uncertainty in the results and calibration. Digital oscilloscopes, probes and their limitations, A/D and D/A conversion, digital multimeter, measurement of time and frequency with universal counter, measurement of frequency spectra with spectrum- and FFT-analyser (FFT – Fast Fourier Transform). Design of measurement systems.
Grading scale: UG - (U, G) - (Fail, Pass)
Assessment: Continuous assessment in connection to the lab exercises. Compulsory parts to be passed: Lab exercises including short pre-tests, lab reports and examination of a lab report.
The examiner, in consultation with Disability Support Services, may deviate from the regular form of examination in order to provide a permanently disabled student with a form of examination equivalent to that of a student without a disability.
Modules
Code: 0117. Name: Electrical Measurements.
Credits: 4.5. Grading scale: UG - (U, G).
Assumed prior knowledge:
EITF90 Electromagnetics and Electronics
The number of participants is limited to: No
Kursen överlappar följande kurser:
ESS070
ESSF10
EEM007
BMEF15
EEMF15
Course coordinator: Johan Gran,
johan.gran@bme.lth.se
Course coordinator: Lars Wallman,
lars.wallman@bme.lth.se
Course homepage: https://www.bme.lth.se/