METHOD AND SYSTEM FOR ADJUSTING AN OPERATING PARAMETER FOR A POWER STATION

1 . A monitoring system for data collection, comprising:

a plurality of input sensors operatively coupled to a component in a power station, the plurality of input sensors communicatively coupled to a data collector having a controller;

the controller comprising:

a data collection band circuit structured to determine at least one collection parameter for at least one of the plurality of sensors from which to process output data; and

a machine learning data analysis circuit structured to receive output data from the at least one of the plurality of sensors and learn output data patterns indicative of a state of the power station,

wherein the monitoring system adjusts an operating parameter of a component of the power station based on one of a mismatch or a match of the output data pattern and the state of the power station.

2 . The system of claim 1 , wherein the operating parameter is a task of the component.

3 . The system of claim 1 , wherein the operating parameter is an association of the component with the power station.

4 . The system of claim 1 , wherein the operating parameter is adjusted to implement at least one of: an increase in fuel efficiency; a reduction in wear; an increase of production output; an increase of an operating life of a component of the power station; avoidance of a fault condition; or a reduction of a load on a component of the power station.

5 . The system of claim 1 , wherein the operating parameter comprises a future component design for a component of the power station.

6 . The system of claim 1 , wherein the state of the power station corresponds to at least one of an outcome or an anticipated outcome relating to a product of the power station.

7 . The system of claim 1 , wherein the machine learning data analysis circuit is further structured to learn received output data patterns by being seeded with a model.

8 . A monitoring apparatus for data collection, comprising:

a plurality of input sensors operatively coupled to a component of a power station, the plurality of input sensors communicatively coupled to a data collector having a controller;

the controller comprising:

a data collection band circuit structured to determine at least one collection parameter for at least one of the plurality of sensors from which to process output data;

a machine learning data analysis circuit structured to receive output data from the at least one of the plurality of sensors and learn output data patterns indicative of a state of the power station; and

a response circuit structured to adjust an operating parameter of the component of the power station based on one of a mismatch or a match of the output data pattern and a state of the power station.

9 . The apparatus of claim 8 , wherein the operating parameter comprises a task of the power station.

10 . The apparatus of claim 8 , wherein the operating parameter comprises an association of the component with the power station.

11 . The apparatus of claim 8 , wherein the operating parameter is adjusted to implement at least one of: an increase in fuel efficiency; a reduction in wear; an increase of power output; an increase of an operating life of a component of the power station; avoidance of a fault condition; or a reduction of a load on a component of the power station.

12 . The apparatus of claim 8 , wherein the operating parameter comprises a future component design for a component of the power station.

13 . The apparatus of claim 8 , wherein the machine learning data analysis circuit is further structured to learn received output data patterns by being seeded with a model.

14 . The apparatus of claim 8 , wherein the machine learning data analysis circuit is further structured to learn received output data patterns indicative of a progress towards a goal or an alignment with a guideline.

15 . A method for data collection, comprising:

collecting data from a plurality of input sensors operatively coupled to a power station, the plurality of input sensors communicatively coupled to a data collector;

determining at least one collection parameter for at least one of the plurality of sensors from which to process output data;

receiving the output data from the at least one of the plurality of sensors and performing a machine learning operation to learn output data patterns indicative of a state of a component of the power station; and

adjusting an operating parameter of a component of the power station in response to one of a mismatch or a match of the output data pattern and the state of the component.

16 . The method of claim 15 , wherein the adjusting the operating parameter comprises implementing at least one of: increasing a fuel efficiency; reducing wear of the component; increasing a power output of the power station; increasing an operating life of the component; avoiding a fault condition; or reducing a load on the component.

17 . The method of claim 15 , wherein the adjusting the operating parameter comprises scheduling a maintenance for the component.

18 . The method of claim 15 , wherein the adjusting the operating parameter comprises ordering one of a new component or a replacement component.

19 . The method of claim 15 , wherein the adjusting the operating parameter comprises providing a future component design for the power station.

20 . The method of claim 15 , wherein the learning the output data pattern further comprises learning an output data pattern indicative of a progress toward at least one of: a goal, or an alignment with a guideline.