BlockSim Analytical Fault Tree and RBD Plot Examples: Difference between revisions

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Let's assume that the three components A, B and C follow failure distributions Weibull(Beta=1.5,Eta=1000), Weibull(Beta=1.1, Eta=800) and Exponential(MTTF=3000). The reliability for each components and the system at mission time =100 hours is shown in the figure below.
Let's assume that the three components A, B and C follow failure distributions Weibull(Beta=1.5,Eta=1000), Weibull(Beta=1.1, Eta=800) and Exponential(MTTF=3000). The reliability for each components and the system at mission time =100 hours is shown in the figure below.
[[Image:OR gate Results.png|thumb|center|400px|]]
[[Image:OR gate Results.png|thumb|center|400px|]]

Revision as of 19:10, 21 March 2012

Let's assume that the three components A, B and C follow failure distributions Weibull(Beta=1.5,Eta=1000), Weibull(Beta=1.1, Eta=800) and Exponential(MTTF=3000). The reliability for each components and the system at mission time =100 hours is shown in the figure below.

OR gate Results.png

There are several plots available for analytic RBD and FT analysis. In system level, there are four plots available as show in the following:

Unreliability vs. Time
Unreliability VS Time.png


Reliability vs. Time
Reliability VS Time.png


Probability Density Function
PDF.png


Failure Rate vs. Time
Failure Rate VS Time.png


For the metrics, there are three kind of reliability importance plot available:

Reliability Importance vs. Time
Reliability Importance vs Time.png


Static Reliability Importance
Static Reliability Importance.png


Static Reliability Importance(Tableau)
Static Reliability Importance (Tableau).png


In block level, there are four kind of plots available:

Block Unreliability vs. Time
Block Unreliability vs. Time.png


Block Reliability vs. Time
Block Reliability vs. Time.png


Block Probability Density Function
Block Probability Density Function.png


Block Failure Rate
Block Failure Rate.png