METHOD AND SYSTEM FOR ADVANCED WARNING OF TRANSIENT STATES IN AN INDUSTRIAL PROCESS

Abstract: a plurality of tags each identify a corresponding process parameter of an industrial process and historical values for the process parameter. a parameter forecast model is trained for each of the parameters that are identified by the plurality of tags, wherein each of the parameter forecast models is trained based at least in part on the received historical values for at least some of the parameters that are identified by the plurality of tags. a forecasted parameter value is generated for each of the parameters identified by the plurality of tags based at least in part on the corresponding parameter forecast model that corresponds to the respective parameter. a plurality of forecasted steady state periods and a plurality of forecasted transient state periods are predicted for each of one or more of the identified parameters.

Inventor(s): Anand Narayan, Priyanshu Sinha, Rakshitha Prabhu, Rahul Ravi

CPC Classification: G05B13/048 (involving the use of models or simulators)

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