EMBEDDED PROGNOSTIC HEALTH MANAGEMENT SYSTEM FOR AERONAUTICAL MACHINES AND DEVICES AND METHODS THEREOF

• US 20120101776A1
• Filed: 10/26/2010
• Published: 04/26/2012
• Est. Priority Date: 10/26/2010
• Status: Abandoned Application

• Current Assignee: CDI-Aerospace LLC (CDI Corporation)
• Original Assignee: CDI-Aerospace LLC (CDI Corporation)
• Inventors: Brower, Alfred N., Franz, Robert F.
• Application Number:
  US12/912,512
• Publication Number:
  US 20120101776A1
• Time in Patent Office: Days
• US Class Current: 702/183
• CPC Class Codes: B64D 43/00 Arrangements or adaptations of instruments arrangements of cameras B64D47/08; aeronautical measuring instruments per se G01C
• CPC Class Codes: G07C 3/08 Registering or indicating the production of the machine either with or without registering working or idle time

Abstract

Embodiments of the present invention relate to a system for monitoring the characteristics of key components of aeronautical machines (e.g., airplanes, helicopters, etc.), processing obtained data, and delivering prognostic health indicators to improve machine performance and detect early warning signs of failure. In one embodiment, a method of maintaining prognostic health management accuracy of an aeronautic system comprises providing a control module and a sensor pod having a plurality of sensors, and physically positioning the plurality of sensors on a mechanical component of an aircraft; obtaining operational data from the sensors while the aircraft is operating in a native environment; transmitting operational data to the control module and determine real-time system performance characteristics; processing real-time system performance characteristics against a set of historical records containing past system performance characteristics and generating predictive indicators for forecasting remaining component lifetime and future component failures; and providing predictive indicators on an indicator means.

Claims

1. A method of maintaining prognostic health management accuracy of an aeronautic system comprising:

providing a control module and a sensor pod having a plurality of sensors, and physically positioning the plurality of sensors on a mechanical component of an aircraft;

obtaining operational data from the sensors while the aircraft is operating in a native environment;

transmitting operational data to the control module and determine real-time system performance characteristics;

processing real-time system performance characteristics against a set of historical records containing past system performance characteristics and generating predictive indicators for forecasting remaining component lifetime and future component failures; and

providing predictive indicators on an indicator means.

2. The method of claim 1, further comprising:

generating real time control signals to actively limit a range of use parameter to enforce operational safety limitations.

3. The method of claim 2, wherein the range of use parameter comprises one of a maximum speed, maximum rotation, maximum fluid intake or combinations thereof.

4. The method of claim 1, further comprising:

reporting predictive indicators to at least one external supervisory management system.

5. The method of claim 4, wherein the reporting predictive indicators to at least one external supervisory management system occurs through an integration of at least one of commercial cellular, satellite, application-dictated telemetry infrastructures or combinations thereof.

6. The method of claim 1, wherein the aircraft comprises one of a jet, an airliner, a cargo aircraft, a turboprop plane, a twin piston engine plane, a helicopter or a space shuttle.

7. The method of claim 1, wherein the mechanical component comprises a component of a jet engine.

8. The method of claim 7, wherein the mechanical component comprises one of a fan, a compressor, a shaft, a combustion chamber, a turbine, a nozzle or a fuel injector.

9. The method of claim 1, wherein the operational data comprises data relating to rotational speed, vibration, torque, or combinations thereof, of the mechanical component.

10. The method of claim 1, further comprising:

interfacing with an existing traditional transducer-based measurement system and obtaining traditional data therefrom.

11. The method of claim 10, further comprising:

combining the traditional data with the operational data to assist in determining the real-time system performance characteristics.

12. The method of claim 1, wherein determining real-time system performance characteristics comprises applying the data to established computer-implemented modeling techniques and comparing the resulting data to historical records containing past system performance characteristics.

13. The method of claim 1, wherein the indicator means comprises one of a visual monitor, an audible speaker, or combinations thereof.

14. A method of maintaining prognostic health management accuracy of a jet comprising:

providing a control module and a sensor pod having a plurality of sensors, and physically positioning the plurality of sensors on a mechanical component of a jet engine;

obtaining operational data from the sensors while the jet is operating in a native environment;

interfacing with an existing traditional transducer-based measurement system and obtaining traditional data therefrom;

transmitting operational data and traditional data to the control module and determine real-time system performance characteristics;

processing real-time system performance characteristics against a set of historical records containing past system performance characteristics and generate predictive indicators for forecasting remaining component lifetime and future component failures;

provide predictive indicators on an indicator means;

generating real time control signals to actively limit a range of use parameter to enforce operational safety limitations; and

reporting predictive indicators to at least one external supervisory management system.

15. The method of claim 14, wherein the range of use parameter comprises one of a maximum speed, maximum rotation, maximum fluid intake or combinations thereof.

16. The method of claim 14, wherein the reporting predictive indicators to at least one external supervisory management system occurs through an integration of at least one of commercial cellular, satellite, application-dictated telemetry infrastructures or combinations thereof.

17. The method of claim 14, wherein the mechanical component of the jet engine comprises one of a fan, a compressor, a shaft, a combustion chamber, a turbine, a nozzle or a fuel injector.

18. The method of claim 14, wherein the operational data comprises data relating to rotational speed, vibration, torque, or combinations thereof, of the mechanical component.

19. The method of claim 14, wherein the indicator means comprises one of a visual monitor, an audible speaker, or combinations thereof.

20. A system for maintaining prognostic health management accuracy of an aeronautic system comprising:

a control module in communication with a sensor pod, the sensor pod having a plurality of sensors positioned on a mechanical component of an aircraft; and

a set of executable instructions stored within a memory in the control module, the set of executable instructions for;

obtaining operational data from the sensors while the aircraft is operating in a native environment;

transmitting operational data to the control module and determine real-time system performance characteristics;

processing real-time system performance characteristics against a set of historical records containing past system performance characteristics and generating predictive indicators for forecasting remaining component lifetime and future component failures; and

providing predictive indicators on an indicator means.