System Identification and Diagnosis


Content, progress and pedagogy of the module

Learning objectives


  • Have comprehension of the fundamental principles of typical methods of system identification
  • Have comprehension of the fundamental concepts, terms and methodologies of abnormal diagnosis
  • Have comprehension of some typical model-based and signal-based diagnosis


  • Be able to apply the learned knowledge to handle some simple system identification problems under assistance of a commercial software
  • Be able to apply and analyse different diagnosis methods


  • Independently be able to define and analyse scientific problems within the area of system identification and diagnosis
  • Independently be able to be a part of professional and interdisciplinary development work within the area of system identification and diagnosis

Type of instruction

The course is taught by a mixture of lectures, workshops, exercises, mini-projects and self-studies.

Extent and expected workload

Since it is a 5 ECTS course module, the work load is expected to be 150 hours for the student.



Name of examSystem Identification and Diagnosis
Type of exam
Oral exam
Assessment7-point grading scale
Type of gradingInternal examination
Criteria of assessmentAs stated in the Joint Programme Regulations.

Additional information

This course is taught to the 1st semester MSc students at the Offshore Energy Systems specialisation and is offered as an elective course at the 3rd semester of the Energy Engineering specialisations as well as the Process Engineering and Combustion Technology specialisation. Students of the Offshore Energy Systems specialisation cannot elect the module again.

Facts about the module

Danish titleSystemidentifikation og diagnosticering
Module codeN-SEE-K1-3
Module typeCourse
Duration1 semester
Empty-place SchemeYes
Location of the lectureCampus Esbjerg, Campus Aalborg
Responsible for the module


Study BoardStudy Board of Energy
DepartmentDepartment of Energy Technology
FacultyFaculty of Engineering and Science