ENE910 Condition Monitoring and Maintenance
- ECTS Credits:
- 2.5
- Responsible department:
- Faculty of Engineering and Science
- Course Leader:
- van Khang Huynh
- Lecture Semester:
- Autumn
- Teaching language:
- English
- Duration:
- 1 term
The course is connected to the following study programs
- Offshore Wind Energy
Teaching language
EnglishRecommended prerequisites
Previous working experience in offshore industries and energy sector.
Course contents
Introduction to common faults and maintenance strategies of wind turbines - Diagnostics techniques for condition monitoring of wind turbines - Principles of fault diagnosis based on vibration and current signals - Assignments on fault diagnosis of bearing and stator winding faults - Applied machine learning methods for fault diagnosis of wind turbines.
Learning outcomes
After the successful completion of the course, the students would be able to:
- describe type of faultsin various components in wind. turbines and maintenance strategies.
- identify the fault characteristic signals in time and frequency domain.
- analyze the current and vibration signals for fault diagnosis.
- understand how the health condition of the turbines can be monitored for the efficient maintenance of the system.
Teaching methods
Online lectures and exercises. Estimated workload for the average student is approximately 70 hours.
Evaluation
A digital evaluation will be organized in accordance with the quality system for education, chapter 4.1.
Offered as Single Standing Module
Yes, if there are places available.
Admission Requirement if given as Single Standing Module
Admission requirements for the course are the same as for the Study programme on Offshore Wind
Assessment methods and criteria
Assessment of the group project assignment leading to Pass/Fail. These assignments can be undertaken in groups with a maximum of 4 members. The group as a whole is graded. Further information on the assessment criterion will be given in Canvas at the beginning of the semester.