ALGORITHM FOR IDENTIFYING HIGHLY SUSPECT COMPONENTS IN FAULT ISOLATION

Patent №

US 5,282,212

Granted

1994-01-25

Filed 1990

Owner

GENERAL ELECTRIC COMPANY, A CORP OF NY

Lab

AI components

1

planning

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

07635037

The present invention, in one embodiment, is a method for identifying highly suspect components in fault isolation. The method for identifying highly suspect components of a system wherein faulty operation has been indicated, respective components of the system generating respective error codes upon occurrence of faulty operation, includes the steps of identifying loops/strings of components, each loop/string being composed of at least one component which generated an error code, determining whether any of the loops/strings have common components, and identifying any of the common components as highly suspect components.

PlanningG06F 11/2273G01R 31/2836

AI classification

Planning1.00
AI hardware0.34
Knowledge representation0.05
Vision0.02
Natural language0.00
Machine learning0.00
Evolutionary computation0.00
Speech0.00

Ownership

GENERAL ELECTRIC COMPANY, A CORP OF NY

assignment · 55720995

Assignors

SHAH, RASIKIAL P.

On an employer assignment, the assignors are typically the inventors.

From the same owner

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