Methods and systems for monitoring a dynamic system

• US 10,458,839 B1
• Filed: 11/04/2015
• Issued: 10/29/2019
• Est. Priority Date: 11/04/2015
• Status: Active Grant

• Current Assignee: General Electric Company
• Original Assignee: General Electric Company
• Inventors: Zotov, Sergey Alexandrovich, Miller, Todd Frederick
• Primary Examiner(s): Nghiem, Michael P
• Assistant Examiner(s): Ngo, Dacthang P
• Application Number:
  US14/932,477
• Time in Patent Office: 1,455 Days
• Field of Search: 702 33
• CPC Class Codes: G01H 1/003 of rotating machines G01H1/10 takes precedence

Abstract

A method for monitoring a dynamic system includes generating system measurement data substantially representative of at least one measured attribute of a plurality of attributes of a dynamic system using at least one measurement device and generating a Poincare map based on the system measurement data. The Poincare map includes representations of the plurality of attributes of the dynamic system. The method also includes determining at least one value for a first attribute of the plurality of attributes of the dynamic system based on the generated Poincare map and regulating real-time operation of the dynamic system based at least partially on the at least one determined value of the first attribute.

Claims

1. A method for monitoring a dynamic system, said method comprising:

generating system measurement data substantially representative of at least one measured attribute of a plurality of attributes of a dynamic system using at least one measurement device;

generating a Poincare map based on the system measurement data, the Poincare map including representations of the plurality of attributes of the dynamic system;

determining at least one value for a first attribute of the plurality of attributes of the dynamic system based on the generated Poincare map;

detecting a first plurality of perturbations defined by the Poincare map, wherein each of the first plurality of perturbations is defined by a first area;

determining the at least one value for the first attribute at least partially based on the first plurality of perturbations, further based on at least one of one or more coordinates of each of the first plurality of perturbations and an area of each of the first plurality of perturbations, wherein the plurality of attributes comprises at least one of angular velocity, a derivative of angular velocity, and revolutions per minute (RPM), wherein the at least one measurement device comprises at least one sensor, the at least one sensor comprising;

a package housing the at least one sensor; and

at least one transducer for measuring the plurality of attributes of the dynamic system; and

regulating real-time operation of the dynamic system based at least partially on the at least one determined value of the first attribute.

2. The method in accordance with claim 1, further comprising:

detecting a second plurality of perturbations defined by the Poincare map, wherein each of the second plurality of perturbations is defined by a second area, wherein the first area is greater than the second area; and

determining at least one value for a second attribute of the plurality of attributes of the dynamic system at least partially based on the second plurality of perturbations, wherein the second attribute is different from the first attribute,

wherein the dynamic system comprises at least one of an inertial navigation system and a downhole system.

3. The method in accordance with claim 2, further comprising determining at least one value for a third attribute of the plurality of attributes of the dynamic system at least partially based on the second plurality of perturbations, wherein the third attribute is different from the first attribute and the second attribute.

4. The method in accordance with claim 2, wherein determining at least one value for the second attribute is further based on at least one of one or more coordinates of each of the second plurality of perturbations, a shape of each of the second plurality of perturbations, and an area of each of the second plurality of perturbations.

5. The method in accordance with claim 1, wherein the at least one measurement device comprises a high-Q resonator,

wherein the dynamic system comprises at least one of turbine and a windmill.

6. The method in accordance with claim 5, wherein the high-Q resonator has a Q factor of greater than 90, and

wherein the high-Q resonator comprises at least one of an optical resonator and a mechanical resonator.

7. The method in accordance with claim 1, further comprising:

extracting environmental data from the system measurement data, thereby generating corrected system measurement data; and

determining at least one corrected value for the first attribute at least partially based on the corrected system measurement data,

wherein the at least one measurement device comprises an energy low-dissipation resonator.

8. The method in accordance with claim 1, wherein the first attribute is one of fluid temperature, pressure, current, and charge.

9. The method in accordance with claim 1, where generating a Poincare map comprises:

applying at least one force to the at least one measurement device;

measuring, by the at least one measurement device, at least one displacement of the at least one measurement device due to the at least one force;

transmitting at least one signal representative of the at least one displacement to a phase portrait analysis (PPA) computer device;

generating additional system measurement data within a predetermined period of time; and

updating the Poincare map at least partially based on the additional system measurement data in real-time.

10. A sensor system for monitoring a dynamic system, said sensor system comprising:

a sensor for measuring at least one attribute of a plurality of attributes of the dynamic system; and

a phase portrait analysis (PPA) computer device comprising a processor and a memory coupled to said processor, said PPA computer device in communication with said sensor, and configured to;

generate system measurement data substantially representative of at least one measured attribute of the plurality of attributes of a dynamic system using said sensor;

generate a Poincare map based on the system measurement data, the Poincare map including representations of the plurality of attributes of the dynamic system wherein the plurality of attributes affect said sensor;

determine at least one value for a first attribute of the plurality of attributes of the dynamic system based on the Poincare map;

detect a first plurality of perturbations defined by the Poincare map, wherein each of the first plurality of perturbations is defined by a first area;

determine the at least one value for the first attribute based on the first plurality of perturbations; and

determine the at least one value of the first attribute based on at least one of one or more coordinates of each of the first plurality of perturbations, wherein the phase portrait analysis (PPA) computer device warns at least one user that a temperature in the dynamic system has increased and is causing variations in the at least one measurement device.

11. The sensor system in accordance with claim 10, wherein the PPA computer device is further configured to determine the at least one value of the first attribute based on the at least one of one or more coordinates of each of the first plurality of perturbations, a shape of each of the first plurality of perturbations, and an area of each of the first plurality of perturbations, wherein the at least one user determines a cause of the temperature variation and takes at least one mitigating action.

12. The sensor system in accordance with claim 10, wherein said PPA computer device is further configured to:

detect a second plurality of perturbations defined by the Poincare map, wherein each of the second plurality of perturbations is defined by a second area, wherein the first area is greater than the second area; and

determine at least one value for a second attribute of the plurality of attributes of the dynamic system based on the second plurality of perturbations, wherein the second attribute is different from the first attribute, and

wherein the PPA computer device further comprises at least one application specific integrated circuit (ASIC).

13. The sensor system in accordance with claim 12, wherein said PPA computer device is further configured to determine at least one value for a third attribute of the plurality of attributes of the dynamic system based on the second plurality of perturbations, wherein the third attribute is different from the first attribute and the second attribute, and

wherein the PPA computer device further comprises at least one field programmable gate array (FPGA).

14. The sensor system in accordance with claim 12, wherein said PPA computer device is further configured to determine the at least one value of the second attribute at least partially based on at least one of one or more coordinates of each of the second plurality of perturbations, a shape of each of the second plurality of perturbations, and an area of each of the second plurality of perturbations,

wherein the dynamic system comprises an inertial navigation system (INS), the inertial navigation system (INS) comprising at least one gyroscope and at least one accelerometer.

15. The sensor system in accordance with claim 12, wherein said PPA computer device is further configured to:

extract environmental data from the system measurement data, thereby generating corrected system measurement data; and

determine at least one corrected value for the first attribute at least partially based on the corrected system measurement data.

16. The sensor system in accordance with claim 12, wherein the sensor includes a high-Q resonator having a Q factor of greater than 90.

17. A phase portrait analysis (PPA) computer device for monitoring a dynamic system, said PPA computer device comprising:

a processor in communication with a memory and a sensor, said processor configured to;

generate system measurement data substantially representative of at least one measured attribute of a plurality of attributes of a dynamic system using at least one measurement device;

generate a Poincare map based on the system measurement data, the Poincare map including representations of the plurality of attributes of the dynamic system;

determine at least one value for a first attribute of the plurality of attributes of the dynamic system based on the generated Poincare map;

detect a first plurality of perturbations defined by the Poincare map, wherein each of the first plurality of perturbations is defined by a first area;

determine the at least one value for the first attribute at least partially based on the first plurality of perturbations, wherein the at least one measurement device comprises at least one sensor, the at least one sensor comprising;

a package housing the at least one sensor; and

at least one transducer for measuring the plurality of attributes of the dynamic system;

detect a second plurality of perturbations defined by the Poincare map, wherein each of the second plurality of perturbations is defined by a second area, wherein the first area is greater than the second area;

determine at least one value for a second attribute of the plurality of attributes of the dynamic system at least partially based on the second plurality of perturbations, wherein the second attribute is different from the first attribute, wherein the dynamic system comprises at least one of an inertial navigation system and a downhole system; and

regulate real-time operation of the dynamic system based at least partially on the at least one determined value.

18. The PPA computer device in accordance with claim 17, wherein said processor is further configured to:

detect a first plurality of perturbations defined by the Poincare map; and

determine the at least one value for the first attribute based on the first plurality of perturbations.

19. The PPA computer device in accordance with claim 17, wherein the sensor includes a high-Q resonator having a Q factor of greater than 90, and

wherein the high-Q resonator comprises at least one of an electrical resonator and an acoustic resonator.

20. A method for monitoring a dynamic system, said method comprising:

generating system measurement data substantially representative of at least one measured attribute of a plurality of attributes of a dynamic system using at least one measurement device, wherein the at least one measurement device comprises a high-Q resonator, wherein the dynamic system comprises at least one of turbine and a windmill;

generating a Poincare map based on the system measurement data, the Poincare map including representations of the plurality of attributes of the dynamic system;

determining at least one value for a first attribute of the plurality of attributes of the dynamic system based on the generated Poincare map; and

regulating real-time operation of the dynamic system based at least partially on the at least one determined value of the first attribute.

21. A method for monitoring a dynamic system, said method comprising:

generating system measurement data substantially representative of at least one measured attribute of a plurality of attributes of a dynamic system using at least one measurement device;

generating a Poincare map based on the system measurement data, the Poincare map including representations of the plurality of attributes of the dynamic system;

applying at least one force to the at least one measurement device;

measuring, by the at least one measurement device, at least one displacement of the at least one measurement device due to the at least one force;

transmitting at least one signal representative of the at least one displacement to a phase portrait analysis (PPA) computer device;

generating additional system measurement data within a predetermined period of time;

updating the Poincare map at least partially based on the additional system measurement data in real-time;

determining at least one value for a first attribute of the plurality of attributes of the dynamic system based on the generated Poincare map; and

regulating real-time operation of the dynamic system based at least partially on the at least one determined value of the first attribute.

22. A sensor system for monitoring a dynamic system, said sensor system comprising:

a sensor for measuring at least one attribute of a plurality of attributes of the dynamic system; and

a phase portrait analysis (PPA) computer device comprising a processor and a memory coupled to said processor, said PPA computer device in communication with said sensor, and configured to;

generate system measurement data substantially representative of at least one measured attribute of the plurality of attributes of a dynamic system using said sensor;

generate a Poincare map based on the system measurement data, the Poincare map including representations of the plurality of attributes of the dynamic system wherein the plurality of attributes affect said sensor;

determine at least one value for a first attribute of the plurality of attributes of the dynamic system based on the Poincare map;

determine the at least one value for the first attribute at least partially based on the first plurality of perturbations;

detect a second plurality of perturbations defined by the Poincare map, wherein each of the second plurality of perturbations is defined by a second area, wherein the first area is greater than the second area;

determine at least one value for a second attribute of the plurality of attributes of the dynamic system based on the second plurality of perturbations, wherein the second attribute is different from the first attribute, and wherein the PPA computer device further comprises at least one application specific integrated circuit (ASIC); and

determine at least one value for a third attribute of the plurality of attributes of the dynamic system based on the second plurality of perturbations, wherein the third attribute is different from the first attribute and the second attribute, and wherein the PPA computer device further comprises at least one field programmable gate array (FPGA).