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Reliability analysis (RIS510)

Basic concepts and techniques in reliability analysis are introduced.


Course description for study year 2022-2023. 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

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

Knowledge: After ended course the student will have 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: Basic understanding of reliability theory and applications

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

Course teacher(s)
Course coordinator: Jon Tømmerås Selvik
Head of Department: Tore Markeset
Method 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 Robot Technology and Signal Processing - Master's Degree Programme Structural and Mechanical Engineering, Master of Science Degree Programme Industrial Asset Management - Master's 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 Technical Societal Safety, Master of Science Degree Programme Risk Management, Master's Degree Programme (Master i teknologi/siviling.) Exchange programme at Faculty of Science and Technology
Course assessment
Usually takes place through forms and/ or interviews/ discussions in accordance with current guidelines
Literature
Search for literature in Leganto