Patent ID: 11900223
Assignee: WESTINGHOUSE ELECTRIC COMPANY LLC
Field: Control (Instruments)
Classification: CPC G | IPC G

Claim 19:
20. A device structured to monitor a system, the device comprising:
a processor apparatus comprising a processor and a storage;
an input apparatus comprising a plurality of input ports that are structured to receive a plurality of signals indicative of a plurality of operational parameters of the system and to provide the plurality of signals as input signals to the processor apparatus;
an output apparatus that is structured to receive output signals from the processor apparatus;
the storage having stored therein a number of routines which, when executed on the processor, cause the device to:
perform a learning procedure comprising:
receiving, on secondary input ports of the plurality of input ports, a plurality of secondary learning signals that are indicative of a plurality of secondary operational parameters of the plurality of operational parameters;
receiving, on a primary input port of the plurality of input ports, primary learning signals indicative of a primary operational parameter of the plurality of operational parameters, wherein the primary operational parameter is indicative of a stability of the system, wherein the primary operational parameter is different than the plurality of secondary operational parameters, and wherein the input port is different than the secondary input ports;
inputting the primary learning signals and the plurality of secondary learning signals into a machine learning algorithm to obtain a model of the system;

at each time step in a series of time steps during operation of the system, performing an operational procedure comprising:
receiving on the primary input port a primary operational signal indicative of the primary operational parameter;
receiving on each secondary input port a secondary operational signal indicative of a secondary operational parameter of the plurality of secondary operational parameters;
inputting each secondary operational signal into the model to obtain from the model a predicted primary operational signal that is a prediction of the primary operational parameter;
obtaining an error signal based on a difference between the predicted primary operational signal and the primary operational signal;
inputting the error signal into a first statistical process control algorithm, wherein the first statistical process control algorithm is to determine whether the predicted primary operational signal is sufficiently different than the primary operational signal; and
outputting an alarm based on the first statistical process control algorithm determining that the error signal exceeds a predetermined threshold.