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D0020B

Internet of Things and Signal Analysis for Condition Monitoring

Course, bachelor's level, 7.5 Credits (link)

Course aim

The aim of the course is to develop competence and skills for measurement technologies, the Internet of Things and signal analysis in order to perform condition monitoring for maintenance decision support. After the course, the student will

  • have basic knowledge about the Internet of Things and its implementation,
  • have basic skills in signal analysis to be able to describe and calculate features in time domain and the frequency content of a signal
  • have the ability to independently and in group undertake tasks for given the settings, as well as demonstrate the ability to identify knowledge gaps and bridging these gaps by gaining new knowledge.
  • understand of how Internet of Things can be used for condition monitoring and maintenance decision support.

Project work

The course contain project work of 2 credits that are published on this site.


Johan Odelius, PhD (link) and Taoufik Najeh, PhD (link)

Master's programme Maintenance Engineering

Division of Operation and Maintenance

Luleå University of Technology

Sweden