Diagnosis [Tracking down fault]


Figure 3. Graphical Model after MOV-25-A Working Assertion.

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.


Sensitivity Analysis. Continue with this example and explore the implication of critical assumptions on the system failure rate estimates. This topic also shows how the object oriented model construction procedure simplifies the analysis.

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).


Russell Almond, <lastname> (at) acm.org
Last modified: Fri Aug 16 14:43:40 1996