METHOD, SYSTEM, AND COMPUTER PROGRAM FOR SYSTEM DIAGNOSIS DETECTION

• US 20130268809A1
• Filed: 10/04/2011
• Published: 10/10/2013
• Est. Priority Date: 10/19/2010
• Status: Active Grant

• Current Assignee: Siemens AG
• Original Assignee: Ralf Klossinger
• Inventors: Hoffmann, Werner, Pirker, Michael, Hubauer, Thomas, Klssinger, Ralf, Roshchin, Mikhail
• Granted Patent: US 9,274,868 B2
• Time in Patent Office: Days
• US Class Current: 714/47.3
• CPC Class Codes: G06F 11/004 Error avoidance G06F11/07 and subgroups take precedence
• CPC Class Codes: G06F 11/2257 using expert systems

Abstract

The present invention is directed to a method, system, and computer software for obtaining system diagnosis, comprising describing a diagnosis domain comprising a plurality of possible diagnoses, prioritizing the plurality of possible diagnoses based on at least one of a plurality of confidence levels, a preference function, and a calculation of a relationship between a plurality of confirmed system symptoms and a plurality of possible diagnoses, generating a plurality of hypotheses for incipient system symptoms, selecting a hypothesis from the generated plurality of hypotheses, obtaining information regarding a plurality of system observations, and obtaining a selection relevant diagnostics for the system.

Claims

1. A method for diagnosis detection in a system, comprising:

(a) describing a diagnosis domain comprising a plurality of possible diagnoses;

(b) prioritizing said plurality of possible diagnoses based on at least one of a plurality of confidence levels, a preference function, and a calculation of a relationship between a plurality of confirmed system symptoms and a plurality of possible diagnoses;

(c) generating a plurality of hypotheses for incipient system symptoms;

(d) selecting a hypothesis from said generated plurality of hypotheses;

(e) obtaining information regarding a plurality of system observations; and

(f) obtaining a selection of relevant diagnostics for the system.

2. The method for system diagnosis detection of claim 1, wherein said step of prioritizing said plurality of possible diagnosis is an automated step.

3. The method for system diagnosis detection of claim 1, wherein the step of selecting a hypothesis from said generated plurality of hypotheses is based on priorities of the hypothesis among each other and their relevance to already classified possible diagnoses.

4. The method for system diagnosis detection of claim 1, wherein the step of obtaining information regarding a plurality of system observations takes into accounts a relevancy of said system observations.

5. The method for system diagnosis detection of claim 4, wherein said relevancy of said system observations is defined automatically, based on at least one of said generated plurality of hypothesis and said selected hypothesis.

6. The method for system diagnosis detection of claim 1, wherein steps (a) to (f) are repeated for every new system incident.

7. A system, comprising:

a data bus system;

memory in communication with the data bus system, the memory having computer usable program code stored therein;

a processing unit in communication with the data bus system, said processing unit being configured to access and execute the computer usable program code to;

(a) describe a diagnosis domain comprising a plurality of possible diagnoses;

(b) prioritize said plurality of possible diagnoses based on at least one of a plurality of confidence levels, a preference function, and a calculation of a relationship between a plurality of confirmed system symptoms and a plurality of possible diagnoses;

(c) generate a plurality of hypotheses for incipient system symptoms;

(d) select a hypothesis from said generated plurality of hypotheses;

(e) obtain information regarding a plurality of system observations; and

(f) obtain a selection of relevant diagnostics for the system.

8. The system of claim 7, wherein the processing unit is configured to further execute said computer usable program code to repeat steps (a) to (f) for every new system incident.

9. A non-transitory, computer-readable data storage medium encoded with programming instructions, said data storage medium being loaded into a computer that is in communication with a computerized system, said programming instructions causing said computer to:

(a) describe a diagnosis domain comprising a plurality of possible diagnoses;

(b) prioritize said plurality of possible diagnoses based on at least one of a plurality of confidence levels, a preference function, and a calculation of a relationship between a plurality of confirmed system symptoms and a plurality of possible diagnoses;

(c) generate a plurality of hypotheses for incipient system symptoms;

(d) select a hypothesis from said generated plurality of hypotheses;

(e) obtain information regarding a plurality of system observations, and

(f) obtain a selection relevant diagnostics for the system.