Thanks to the automatic correlation, you can identify relationships between alarms and group them together automatically!
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(Automatic) correlation is the action of grouping several alarms presented to Canopsis into one, if they have a causal link between them.
Correlation can take place at three levels:
- By repository information describing links between components
- Via management rules created by users or administrators
- With control rules subject to application manager validation
While it is now possible to create meta-alarmswith predefined rules, automatic correlation makes it possible to do so using only machine learning data.
For more information on correlation, visit the Canopsis documentation.
Audience
- Supervision pilots
- Application managers
Added value
- Relevance
- Decision support
- Continuous improvement
- Valuation
