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Functional Safety Suite
| Overview | Features | Download and Installation |
User Manual |
|---|
Features and Characteristics:
- A graphical user interface to create and edit models.
- Event Trees, including branches with more than two options.
- Architectures: automatic creation of fault trees based on schematic diagrams.
- Extended Fault Trees: Monte-Carlo simulation provides many gate types the enable modeling of practically any particular system to be modeled and evaluated with high accuracy.
- Extended Reliability Block Diagrams: different parallel structures available
- Extended Markov models: not only transition rates but also transition probabilities are supported, and events at discrete times (e.g. restoration).
- Conversion of Fault Trees to Reliability Block Diagrams and vice verse.
- Conversion of Fault Trees to Markov models, including common causes and condition events.
- Steady state quantitative evaluation of all models.
- Transient (time-variant) evaluation of Fault Trees and Markov models.
- Supports modularization of Fault Trees.
- Supports linking between models.
- Many occurance/failure models for basic events.
- Easy handling of common cause failures, even through transfer-gates and combination gates.
- Graphical output of unavailability, unreliability and occurance rate (failure frequency) as function of time.
- Modeling, simulation and graphical analysis of complex components with different failure modes (safe and unsafe) with time variant rates, incl. detailed calculus of the characteristic values (e.g. b10, b10_d, MTBF, MTBF_d etc.).
- Export of all graphical representations in bitmap (PNG) or vector graphics format (SVG, DrawingML).
- Export of the prime implicants (minimal cut-sets) in HTML or CSV format.
- Export of transient data in CSV format.
- Analysis of the importance of basic events or generic basic events to the top event of a Fault Tree or Markov model.
- No proprietary or binary file formats: all data is stored in XML text files.
Screenshots
Event tree:
Architecture:
Fault tree:
Reliability block diagram:
Markov model:
Complex component:
Chart of complex component values: