Systems and Methods for Health Management of Single or Multi-Platform Systems

• US 20080040152A1
• Filed: 05/07/2007
• Published: 02/14/2008
• Est. Priority Date: 08/10/2006
• Status: Abandoned Application

• Current Assignee: The Boeing Co.
• Original Assignee: The Boeing Co.
• Inventors: Vian, John L., Clark, Gregory J.
• Application Number:
  US11/745,258
• Publication Number:
  US 20080040152A1
• Time in Patent Office: Days
• US Class Current: 705/2
• CPC Class Codes: G05B 23/0221 Preprocessing measurements, e.g. data collection rate adjustment; Standardization of measurements; Time series or signal analysis, e.g. frequency analysis or wavelets; Trustworthiness of measurements; Indexes therefor; Measurements using easily measured parameters to estimate parameters difficult to measure; Virtual sensor creation; De-noising; Sensor fusion; Unconventional preprocessing inherently present in specific fault detection methods like PCA-based methods
• CPC Class Codes: G05B 23/0245 based on a qualitative model, e.g. rule based; if-then decisions
• CPC Class Codes: G05B 23/0283 Predictive maintenance, e.g. involving the monitoring of a system and, based on the monitoring results, taking decisions on the maintenance schedule of the monitored system; Estimating remaining useful life [RUL] preventive maintenance, i.e. planning maintenance according to the available resources without monitoring the system G06Q10/06
• CPC Class Codes: G06Q 10/00 Administration; Management
• CPC Class Codes: G06Q 50/04 Manufacturing
• CPC Class Codes: G16H 40/40 for the management of medical equipment or devices, e.g. scheduling maintenance or upgrades
• CPC Class Codes: G16H 40/67 for remote operation
• CPC Class Codes: Y02P 90/30 Computing systems specially adapted for manufacturing

Abstract

Systems and methods for health data management are disclosed. In one embodiment, a method of monitoring health information for a multi-platform system includes receiving health information from one or more subsystems of a plurality of platforms, and analyzing the health information using one or more reasoner algorithms configured to predict a potential failure of the one or more subsystems. Upon prediction of a potential failure, the method includes providing a prognostic characteristic of the one or more subsystems. In alternate embodiments, the method may further include translating at least some of the health information for each of the one or more subsystems into a common format, and storing the translated health information into a database for subsequent analysis.

Claims

1. A method of monitoring health information for a multi-platform system, comprising:

receiving health information from one or more subsystems of a plurality of platforms;

analyzing the health information using one or more reasoner algorithms configured to at least one of diagnose and predict a potential failure of the one or more subsystems;

upon diagnosis of a failure, providing recommended action; and

upon prediction of a potential failure, providing a prognostic characteristic of the one or more subsystems.

2. The method of claim 1, further comprising:

translating at least some of the health information for each of the one or more subsystems into a common format; and

storing the translated health information into a database for subsequent analysis.

3. The method of claim 2, wherein the plurality of platforms include one or more flight vehicles, and wherein analyzing the health information includes:

retrieving the translated health information from the database; and

analyzing the translated health information using one or more ground-based reasoner algorithms.

4. The method of claim 1, wherein providing a prognostic characteristic includes providing at least one of a repair order, a replacement order, and a maintenance order.

5. The method of claim 1, wherein analyzing the health information includes analyzing the health information using a relational database.

6. The method of claim 5, wherein analyzing the health information using a relational database includes analyzing the health information using a relational database that enables at least one of the following data associations:

1) multiple data set associated from the same data source,

     2) two different data sources from the same aircraft, and

     3) multiple different aircraft platforms.

7. A system for monitoring health information for a multi-platform system, comprising:

a first component configured to receive health information from one or more subsystems of a plurality of platforms;

a second component configured to analyze the health information using one or more reasoner algorithms configured to at least one of diagnose and predict a potential failure of the one or more subsystems; and

a third component configured to, upon diagnosis of a failure, provide recommended action, and upon prediction of a potential failure, provide a prognostic characteristic of the one or more subsystems.

8. The system of claim 7, further comprising:

a fourth component configured to translate at least some of the health information for each of the one or more subsystems into a common format; and

a fifth component configured to store the translated health information into a database for subsequent analysis.

9. The system of claim 8, wherein the plurality of platforms include one or more flight vehicles, and wherein the second component is further configured to:

retrieve the translated health information from the database; and

analyze the translated health information using one or more ground-based reasoner algorithms.

10. The system of claim 7, wherein the third component is further configured to provide at least one of a repair order, a replacement order, and a maintenance order.

11. The system of claim 7, wherein the second component is further configured to analyze the health information using a relational database.

12. The system of claim 7, wherein the second component is further configured to analyze the health information using a relational database that enables at least one of the following data associations:

1) multiple data set associated from the same data source,

     2) two different data sources from the same aircraft, and

     3) multiple different aircraft platforms.

13. One or more computer-readable media containing computer-readable instructions that, when executed, perform a method of monitoring health information for a multi-platform system, comprising:

receiving health information from one or more subsystems of a plurality of platforms;

analyzing the health information using one or more reasoner algorithms configured to at least one of diagnose and predict a potential failure of the one or more subsystems;

upon diagnosis of a failure, providing recommended action; and

upon prediction of a potential failure, providing a prognostic characteristic of the one or more subsystems.

14. The computer-readable media of claim 13, wherein the method further comprises:

translating at least some of the health information for each of the one or more subsystems into a common format; and

storing the translated health information into a database for subsequent analysis.

15. The computer-readable media of claim 14, wherein the plurality of platforms include one or more flight vehicles, and wherein analyzing the health information includes:

retrieving the translated health information from the database; and

analyzing the translated health information using one or more ground-based reasoner algorithms.

16. The computer-readable media of claim 13, wherein providing a prognostic characteristic includes providing at least one of a repair order, a replacement order, and a maintenance order.

17. The computer-readable media of claim 13, wherein analyzing the health information includes analyzing the health information using a relational database.

18. The computer-readable media of claim 13, wherein analyzing the health information using a relational database includes analyzing the health information using a relational database that enables at least one of the following data associations:

1) multiple data set associated from the same data source,

     2) two different data sources from the same aircraft, and

     3) multiple different aircraft platforms.