Recommended prerequisite for participation in the module

Content, progress and pedagogy of the module

Purpose

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

Content

• 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

Knowledge

• 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

Skills

• 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

Competences

• 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

Exam

Exams