Silent Controls correlation analysis improves the understanding of the causal connections
in the process. That is useful in many ways, for instance to
- detect sensor errors
- improve the control
- validate process models
- obtain early warnings from well-known situations
- identify variables when creating models
- improve for the operator through multivariate observation systems
Regardless of the cause for the alarm problem, Silent Controls
alarm- and correlation analysis helps you to identify the problem
and to find effective solutions. Our solutions are often small simple
adjustments in the existing system, for example changing the values
for the dead band or inserting simple filters.
Before you rush away to buy expensive add-on
systems or create advanced models our much simpler solution should be considered!