Self-learning automated information technology change risk prediction
US-2024414064-A1 · Dec 12, 2024 · US
US8990625B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-8990625-B2 |
| Application number | US-201113642301-A |
| Country | US |
| Kind code | B2 |
| Filing date | Apr 21, 2011 |
| Priority date | Apr 22, 2010 |
| Publication date | Mar 24, 2015 |
| Grant date | Mar 24, 2015 |
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The original MCS of a system fault tree includes sufficient conditions required for a top system hazard. If a fault occurs in a component and the component is restored, the current MCS of a system and the critical components can be calculated on the basis of the original MCS by means of several calculation patterns.
Opening claim text (preview).
The invention claimed is: 1. A system for analyzing system reliability at runtime to determine critical components of a system based on a history of component failures and recoveries and necessary observations of some guard conditions which are normal states of some components, comprising: a fault tree input unit configured to input fault trees of the system to be analyzed; a fault tree analyzer configured to calculate original and runtime minimal cut sets (MCS) of the fault tre…
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