Reliability Analysis (RIS510)
Basic concepts and techniques in reliability analysis are introduced.
Course description for study year 2024-2025. Please note that changes may occur.
Facts
Course code
RIS510
Version
1
Credits (ECTS)
10
Semester tution start
Spring
Number of semesters
1
Exam semester
Spring
Language of instruction
English
Time table
Content
Basic concepts and techniques in reliability analysis are introduced. Themes covered in the course are among others:
- The probability theoretical foundation for risk and reliability analyses.
- Calculation of system reliability for binary and multi-state systems.
- Optimization of reliability and maintenance strategies.
- Statistical analysis of reliability data for both repairable and non-repairable systems.
- Introduction to different methods for analysis of reliability data.
Learning outcome
After completing the course the student shall:
Knowledge:
- have basic knowledge about basic methods and the theory behind commonly used techniques in reliability analysis.
Skills:
- be able to develop relevant expressions and apply basic theory (concepts, methods/techniques and models) in reliability analysis.
General competence:
- general competence on use of reliability analysis in risk and safety management.
Required prerequisite knowledge
None
Recommended prerequisites
STA500 Probability and Statistics 2, STA510 Statistical Modeling and Simulation
Exam
| Form of assessment | Weight | Duration | Marks | Aid |
|---|---|---|---|---|
| Written exam | 1/1 | 4 Hours | Letter grades | Valid calculator |
The exam is written with penn and paper.
Course teacher(s)
Course coordinator:
Jon Tømmerås SelvikHead of Department:
Tore MarkesetMethod of work
Lectures, 2-3 hrs per week. Lectures in English
Problem solving (individual or in groups)
Overlapping courses
| Course | Reduction (SP) |
|---|---|
| Reliability Analysis (MOS190_1) | 10 |
Open for
Admission to Single Courses at the Faculty of Science and Technology
Computer Science - Master of Science Degree Programme
Industrial Economics - Master of Science Degree Programme
Industrial Economics - Master of Science Degree Programme, Five Year
Structural and Mechanical Engineering - Master of Science Degree Programme
Industrial Asset Management - Master of Science Degree Programme
Marine and Offshore Technology - Master of Science Degree Programme
Petroleum Engineering - Master of Science Degree Programme
Risk Analysis - Master of Science Degree Programme
Exchange programme at Faculty of Science and Technology
Course assessment
There must be an early dialogue between the course supervisor, the student union representative and the students. The purpose is feedback from the students for changes and adjustments in the course for the current semester.In addition, a digital subject evaluation must be carried out at least every three years. Its purpose is to gather the students experiences with the course.