Method for associating text in automatic diagnostic system to pr

Boots – shoes – and leggings

Patent

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

364186, 395911, G06F 1518

Patent

active

050815989

ABSTRACT:
A method for automatically generating recommended actions in response to a diagnosis uses a list ordered by impact of the actions. The list is evaluated using required evidence which must be supported by data and assumed evidence which must not be contradicted by the data. The method is applied to the diagnosis of malfunctions in equipment by an expert system rulebase. A correspondence is defined between text modules including the recommended actions and each of the schemata in the rulebase which produce a diagnosis. After a diagnosis is evaluated as true, the corresponding text modules are evaluated to produce a recommended action. The text modules can also be used for documentation of the rulebase.

REFERENCES:
patent: 4644479 (1987-02-01), Kemper et al.
patent: 4649515 (1987-03-01), Thompson et al.
patent: 4763277 (1988-08-01), Ashford et al.
patent: 4866635 (1989-09-01), Kahn et al.
patent: 4910691 (1990-03-01), Skeivik
patent: 5012430 (1991-04-01), Sakurai
David D. Ardayfio et al, Prototype Expert Systems for Engineering Design and Manufacturing Automation, 1/1987, p. 209.
Robert L. Moore, Expert System in On-Line Process Control Received by U.S. Pat. Office, Jun. 14, 1988, see all.

LandOfFree

Say what you really think

Search LandOfFree.com for the USA inventors and patents. Rate them and share your experience with other people.

Rating

Method for associating text in automatic diagnostic system to pr does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Method for associating text in automatic diagnostic system to pr, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Method for associating text in automatic diagnostic system to pr will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFUS-PAI-O-545897

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.