Fault Tree Analysis (FTA) – Basic information about probability combinatorial analysis and system modelling of the fault tree analysis (FTA) Identify occurrence of safety critical events.
Fault tree analyses can help systematically determine the occurrence of a hazard as a result of individual events. The FTA methodology for determining causes requires sound knowledge of probability theory, reliability theory and logical modelling of chains of effects in technical systems. The seminar is a practical, compact introduction of these three elements - for system analysts, safety engineers, safety managers and quality engineers.
Content

The seminar offers a compact introduction of these three basic elements of the fault tree analysis by means of practical examples and exercises.

Assessments in the form of common-cause analysis, minimum interaction analysis and importance metrics are explained.
Moreover, possible links and combinations of FTA with other analysis methods and activities within the scope of a safety-related development are explained.

  • Fault tree logic
  • Fault probability and fault rate
  • Modelling basis
  • Assessment possibilities
  • Comparison with and in combination with other analysis techniques
  • Integration into the development process
  • Efficient use of tools

  • Scope of services

  • 1 day
  • Professional seminar management
  • Seminar documents (PDF download)
  • Certificate of participation
  • Lunch as well as snacks and beverages during the coffee/tea breaks
  • Adequate freedom for sharing experiences and knowledge transfer
  • A pleasant training atmosphere with the best service
  • Benefit

  • Development of a FTA
  • Learning necessary parameters for mathematically correct probability determination
  • Independent application of assessment methods or plausibility checks
  • Extensive knowledge of probabilistic systems analysis
  • Along with training documents, provide a reference book for practical use.
  • Group of participants

    Quality manager

    Participant fee
    The participation fee is 700,00€ (net)