Now that "MOV-25-A" is no longer a likely failure cause, "CV-46-A" becomes the most likely failure cause in this leg of the system. However, a failure of both branches of the pump train system is becoming more likely. It is easy to see how we could continue this process until we found all of the failure causes.
In this example, we have seen how Graphical-Belief is a powerful tool for exploring both real and hypothetical scenarios. It not only answers simple questions, like "What is the failure probability of the system?" but complex questions like "What is the failure probability of the system given that `Pump-A' has failed?" This ability to answer complex questions can be used in complex tasks such as diagnosing failures and establishing policies for what to do in exceptional situations.
Return to
the main example page.
Back to overview of Graphical-Belief.
View a list
of Graphical-Belief in publications and downloadable technical
reports.
The Graphical-Belief user
interface is implemented in Garnet.
Get more
information about obtaining Graphical-Belief (and why
it is not generally available).
get
the home page for Russell Almond , author
of Graphical-Belief.
Click
here to get to the home page for Insightful (the company that StatSci
has eventually evolved into).