Digital Teaching
The lecture is offered digitally in WS 22/23 via Moodle and Zoom. Further information will be provided at the beginning of the semester.
Course Contents
Reliability engineering encompasses the systematic application of methods of reliability analysis and evaluation over the entire product lifecycle in order to ensure system reliability. It describes the reliability, functional reliability, availability and serviceability of an interrelated set of technical elements. Ever more complex technical products (modern motor vehicles, airplanes, many medical devices and also smart systems) are expected to increase reliability as well as increased performance. The methods of Reliability Engineering serve to identify and eliminate weaknesses (qualitative) and to predict the expected reliability (quantitative).
The course consists of the following topics
Introduction to the basic concepts of system reliability
qualitative reliability analysis: Failure Mode and Effect Analysis (FMEA), fault tree analysis (FTA), examples from electromobility
quantitative reliability analysis: Boolean system theory (non-repairable systems) and Markov processes (repairable systems)
measures to increase reliability: concepts of redundancy, uncertainty analysis, fault tolerance and functional safety
numerical and experimental simulation: system reliability analysis of smart systems
quality management: introduction to the basic concepts of quality and Total Quality Management (TQM)
Literature
O'Connor, P.D.T.: Practical Reliability Engineering, 5th Edition, E. Edition, Wiley, 2012
Bertsche, B., Lechner, G.: Zuverlässigkeit im Fahrzeug- und Maschinenbau, Springer-V., 2004
Bertsche, B., Göhner, P., Jensen, U., Schinköthe, W., Wunderlich, H.-J.: Zuverlässigkeit mechatronischer Systeme; Springer-V., 2009
Birolini, A.: Reliability Engineering Theory and Practice, Springer-Verlag, 2004
Preconditions
Reliability in Mechanical Engineering recommended
Official Course Description
[b]Syllabus [/b]
[list]
[*]Introduction to the basic concepts of system reliability
[*]qualitative reliability analysis: Failure Mode and Effect Analysis (FMEA), fault tree analysis (FTA), examples from electromobility
[*]quantitative reliability analysis: Boolean system theory (non-repairable systems) and Markov processes (repairable systems)
[*]measures to increase reliability: concepts of redundancy, uncertainty analysis, fault tolerance and functional safety
[*]numerical and experimental simulation: system reliability analysis of smart systemsquality management: introduction to the basic concepts of quality and Total Quality Management (TQM)
[/list]
[b]Learning Outcomes [/b]
On successful completion of this module, students should be able to:
1. identify and mathematically formulate reliability problems in complex/smart systems.
2. differentiate qualitative and quantitative methods for system reliability analysis and to select the correct method depending on the case.
3. calculate the reliability of systems qualitatively and quantitatively and evaluate them.
4. increase the reliability of systems by means of adequate measures.
5. select and apply the appropriate simulation methodology for mechatronic and smart systems.6. classify the concept of quality and total quality management in the context of reliability assurance.
Online Offerings
moodle
- Lehrende: Elena Slomski-Vetter