Reliability Analysis (RIS510)

Basic concepts and techniques in reliability analysis are introduced.


Course description for study year 2023-2024. 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

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

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 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 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

There must be an early dialogue between the course coordinator, the student 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 course evaluation must be carried out at least every three years. Its purpose is to gather the students experiences with the course.

Literature

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