Reliability Modeling and Analysis


Prerequisite/Recommended prerequisite for participation in the module

Probability, statistics and stochastic processes

Content, progress and pedagogy of the module


The course purpose consists of two parts:

  • To contribute to students’ attainment of comprehension of fundamental principles for reliability modelling
  • To contribute to students’ attainment of comprehension of fundamental principles for reliability analysis


  • Principles of reliability modelling
    • Quality and reliability
    • Creating reliability vs. measuring reliability
    • Failure modes, causes and mechanisms
  • Probabilistic models of failure phenomena
    • Essentials of probability theory
    • Probabilistic definition of reliability
  • Component reliability
    • Common distribution in component reliability
    • Component reliability model selection
  • System reliability analysis
    • Structure analysis and design
    • Reliability block diagram method
    • Fault modes and effects analysis
    • Fault tree analysis
  • Hazard and risk analysis
  • Reliability analysis of dynamic systems
    • Markov theory and applications
    • Simulation methods (Monte Carlo methods)
    • Analysis of fault tolerant systems
  • Bayesian analysis
    • Foundations of Bayesian statistical inference
    • Bayesian inference in reliability
    • Performing Bayesian reliability analysis
    • Bayesian decision and estimation theory
  • Uncertainty analysis and propagation methods
    • Measuring uncertainty
    • Uncertainty propagation
  • Reliability in computer systems
    • Hardware reliability vs. software reliability
    • Software reliability improvement methods
    • Software reliability assessment methods

Learning objectives


  • Have comprehension of fundamental principles for reliability modelling and analysis
  • Have comprehension of  reliability analysis using logic diagrams
  • Have comprehension of Bayesian methods for simple reliability modelling and analysis


  • Be able to apply probabilistic methods for reliability modelling and analysis.
  • Be able to judge the usefulness of the set up methods
  • Be able to relate the methods to applications in the industry


  • Independently be able to define and analyze scientific problems within the area of reliability modelling and analysis.
  • Independently be able to be a part of professional and interdisciplinary development work within the area of reliability modelling and analysis.

Type of instruction

The program is based on a combination of academic, problem-oriented and interdisciplinary approaches and organized based on the following work and evaluation methods that combine skills and reflection:

  • Lectures
  • Classroom instruction
  • Project work
  • Workshops
  • Exercises (individually and in groups)
  • Teacher feedback
  • Reflection
  • Portfolio work

Extent and expected workload

Since it is a 5 ECTS course module, the work load is expected to be 150 hours for the student



Name of examReliability Modeling and Analysis
Type of exam
Written or oral exam
Assessment7-point grading scale
Type of gradingInternal examination
Criteria of assessmentAs stated in the Joint Programme Regulations.

Facts about the module

Danish titlePålidelighedsmodellering og analyse
Module codeN-IRS-K2-4
Module typeCourse
Duration1 semester
Empty-place SchemeYes
Location of the lectureCampus Esbjerg
Responsible for the module


Study BoardStudy Board of Energy
DepartmentDepartment of Energy Technology
FacultyFaculty of Engineering and Science