Robotic Based Condition Monitoring
2025/2026
Content, progress and pedagogy of the module
Learning objectives
Knowledge
- Have knowledge and comprehension for how to use robotic systems for condition monitoring
- Have knowledge and comprehension within maintenance schemes, economic benefits, scope and limitations
- Have knowledge and comprehension within maintenance strategies applied to various problems in the industrial sector
Skills
- Be able to use and integrate multiple sensors in robotic systems for condition monitoring
- Be able to judge the usefulness of the different scientific methods for the design of diagnostic, and condition monitoring systems
- Be able to verify the different scientific analysis and methods by laboratory experiments
- Be able to use and adapt algorithms and models from artificial intelligence and machine learning to design condition monitoring systems using robots
Competences
- Be able to control the working and development process within the project theme, and be able to develop new solutions within diagnostic, condition monitoring, and maintenance of energy systems
- Be able to set up innovative ideas within the area of condition monitoring, diagnostic and maintenance
- Independently be able to continue own development in competence and specialisation related to the field
Type of instruction
Problem based project organised work in groups. The students focus on proficient project leadership and management when finding their technical solution. The project can be made in cooperation with external partners and the project can be a disciplinary project, a cross- disciplinary project or part of a multi-disciplinary project, where several groups from one or more departments work with different parts of a larger project.
Project work including supervision may be supplemented with lectures, workshops, presentation seminars, consultant meetings regarding PBL content, laboratory tests, etc.
The considered system should be analysed, and models and simulations of the system are to be made. Different methods are to be applied to find the parameters of the system.
The set-up models should be verified by experimental test either directly on a real system or on a model or parts of the scaled systems set-up in the laboratory.
The project work is documented in a project report with maximum extend according to §19.
The project report must include a section/chapter with reflections on the PBL process and project management.
Extent and expected workload
Since it is a 15 ECTS project module, the workload is expected to be 450 hours for the student.
Exam
Exams
| Name of exam | Robotic Based Condition Monitoring |
| Type of exam | Oral exam based on a project
At the project examination the project group shall present its
project work in accordance to the Examination Policies and
Procedures. |
| ECTS | 15 |
| Permitted aids | With certain aids:
For more information about permitted aids, please visit the course
description in Moodle. |
| Assessment | 7-point grading scale |
| Type of grading | Internal examination |
| Criteria of assessment | The criteria of assessment are stated in the Examination Policies and Procedures |
Facts about the module
| Danish title | Robotbaseret tilstandsovervågning |
| Module code | 25E-AIAS1-1 |
| Module type | Project |
| Duration | 1 semester |
| Semester | Autumn
|
| ECTS | 15 |
| Language of instruction | English |
| Location of the lecture | Campus Esbjerg |
| Responsible for the module | |
| Used in | |
Organisation
| Education owner | Master of Science (MSc) in Engineering (Advanced Power Electronics) |
| Study Board | Study Board of Build, Energy, Electronics and Mechanics in Esbjerg |
| Department | Department of Energy |
| Faculty | The Faculty of Engineering and Science |
