Expert diagnostic system with inference generator

• US 6,529,893 B1
• Filed: 02/26/1999
• Issued: 03/04/2003
• Est. Priority Date: 02/26/1999
• Status: Expired due to Fees

• Current Assignee: Donald Earl Geister, Mandel Foner
• Original Assignee: Donald Earl Geister, Mandel Foner
• Inventors: Geister, Donald Earl, Foner, Mandel
• Primary Examiner(s): STARKS, WILBERT L
• Application Number:
  US09/259,093
• Time in Patent Office: 1,467 Days
• Field of Search: 701/99, 702/185, 702/184, 706/52, 706/60, 714/737, 376/216, 379/10, 382/145
• US Class Current: 706/60
• CPC Class Codes: G06F 11/2257 using expert systems
• CPC Class Codes: G06N 5/04 Inference or reasoning models

Abstract

A method and expert system are capable of assisting experts in documenting failure attributes of a functional system as well as subsequent users in diagnosing the functional system. The system uses an author interface, an inference generator, and a user interface to draw authoring and diagnostic inferences based on expert and user input. The inference generator includes a knowledge base containing general failure attribute information. The inference generator allows the expert system to provide experts and users with suggestions relating to the particular task at hand. The result is a fully integrated means for documenting failure attributes of a functional system, and for diagnosing the functional system.

Claims

1. A computer-implemented method for documenting failure attributes of a functional system and diagnosing said functional system, comprising steps of:

receiving expert input from an author, the expert input defining failure attributes of the functional system;

receiving user input from a user, the user input defining failure symptoms of the functional system;

creating inference input from said expert input and said user input; and

suggesting additional failure attributes to the author based on the inference input.

2. The method of claim 1 further comprising the step of generating queries based on said inference input.

3. The method of claim 2 further including the step of generating authoring queries.

4. The method of claim 2 further including the step of generating diagnostic queries.

5. The method of claim 1 further comprising the step of creating instructional data from said expert input.

6. The method of claim 1 further comprising the step of creating instructional data from said inference input.

7. The method of claim 1 further comprising the step of creating instructional data from said user input.

8. The method of claim 7 further comprising the step of presenting said instructional data to said user.

9. The method of claim 1 further including the step of selecting the functional system from a group consisting essentially of:

electrical systems;

mechanical systems; and

biological systems.

10. A computer-implemented expert system for documenting failure attributes of a functional system and diagnosing said functional system, comprising:

an author interface for receiving expert input from an author and creating instructional data relating to said failure attributes;

a user interface for receiving user input from a user and presenting said instructional data to said user; and

an inference generator for creating inference input from said expert input and said user input, said expert system creating said instructional data from said inference input;

said author interface suggesting failure attributes to the author based on the inference input.

11. The expert system of claim 10, wherein said inference input comprises authoring inferences and diagnostic inferences such that said inference generator creates said authoring inferences from said expert input and said inference generator creates said diagnostic inferences from said user input.

12. The expert system of claim 10, wherein said inference generator comprises an updateable knowledge base, said updateable knowledge base containing diagnostic rules for creating said inference input.

13. The expert system of claim 12, wherein said updateable knowledge base further comprises a component dictionary for retrieving said failure attributes of said functional system.

14. The expert system of claim 10 wherein said author interface and user interface generate queries based on said inference input.

15. The expert system of claim 10 wherein said expert input comprises component information of said functional system.

16. The expert system of claim 10 wherein said expert input comprises component coupling information of said functional system.

17. The expert system of claim 10 wherein said expert input comprises failure mode information of said functional system.

18. The expert system of claim 10 wherein said expert input comprises failure symptom information of said functional system.

19. The expert system of claim 10 wherein said user interface creates instructional data from said user input.

20. The expert system of claim 10 wherein said user input comprises component failure symptom information of said functional system.

21. The expert system of claim 10 wherein said user input comprises diagnosis results.

22. The expert system of claim 10 further comprising an instructional database for storing said instructional data.

23. The expert system of claim 10 wherein the functional system is selected from a group consisting essentially of:

electrical systems;

mechanical systems; and

biological systems.