Reliability Modeling and Analysis


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 assessmentThe criteria of assessment are stated in the Examination Policies and Procedures

Facts about the module

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


Education ownerMaster of Science (MSc) in Engineering (Intelligent Reliable Systems)
Study BoardStudy Board of Build, Energy, Electronics and Mechanics in Esbjerg
DepartmentDepartment of Energy
FacultyThe Faculty of Engineering and Science