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

Abstract

Systems, methods and apparatus for monitoring data collection are disclosed. A system according to one disclosed non-limiting embodiment of the present disclosure can include 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 including: a data collection band circuit structured to determine a 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 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.

Claims

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.