AAAI workshop on AI in

Frank Hoffmann (fhoffman@cs.berkeley.edu)
Sun, 7 Jun 1998 03:26:54 +0200 (MET DST)

Proposed Workshop on AI in Equipment Service
1999 Spring Symposium
Stanford University, Palo Alto, CA
Organizing Committee: Alice Agogino, UC Berkeley; Piero Bonissone, GE Corporate Research &
Development; Kai Goebel, GE Corporate Research & Development; George Vachtsevanos, Georgia Institute
of Technology

This mail tries to gage the interest in the proposed workshop on AI in Equipment Service. If you are
interested in this workshop (this is not a commitment), please respond via email to Kai Goebel
email: goebelk@crd.ge.com

MOTIVATION: In a recent paradigm shift, manufacturing companies who experience a reduction of profit
margins in their traditional businesses try to maintain and grow their market share by offering their
customers novel and aggressive service contracts. In these new offerings the old parts & labor
billing model is replaced by guaranteed uptime. This in turn places the motivation to maintain
equipment in working order on the servicing company. As a result there is a strong and renewed
emphasis on AI technologies that can be used to monitor products and processes, detect incipient
failures, identify possible faults (in various stages of development), determine the preventive or
corrective action, generate a cost-efficient repair plan and monitor its execution.

TOPICS: This workshop aims to address relevant AI technologies which address segmentation,
classification, prediction, and decision making in particular in:
-Adaptation to changing environments,
-Decision making of autonomous systems (from a service point of view)
-Information Fusion of various diagnostic modules to resolve conflicts and aggregate information
expressing uncertainty in different domains
-Knowledge extraction from symptom databases
-Intelligent internet based agents for monitoring tasks
-Maintenance planning
-Corrective action planning
-Trend performance analysis and prognostics,
-Reliability and margin prediction
-Machine learning to recognize and classify new system behavior,
-Autonomous repair
-Reconfigurability

As a standard procedure, AAAI tries to get a feel for how much interest there is for any proposed
workshop. We therefore ask for your feedback on the proposed workshop on Equipment Service. Please
respond via email to:

goebelk@crd.ge.com


Kai Goebel, Ph.D.
Information Technology Laboratory
GE Corporate Research and Development
Schenectady, NY 12301
Tel: (518) 387-4194


############################################################################
This message was posted through the fuzzy mailing list.
(1) To subscribe to this mailing list, send a message body of
"SUB FUZZY-MAIL myFirstName mySurname" to listproc@dbai.tuwien.ac.at
(2) To unsubscribe from this mailing list, send a message body of
"UNSUB FUZZY-MAIL" or "UNSUB FUZZY-MAIL yoursubscription@email.address.com"
to listproc@dbai.tuwien.ac.at
(3) To reach the human who maintains the list, send mail to
fuzzy-owner@dbai.tuwien.ac.at
(4) WWW access and other information on Fuzzy Sets and Logic see
http://www.dbai.tuwien.ac.at/ftp/mlowner/fuzzy-mail.info
(5) WWW archive: http://www.dbai.tuwien.ac.at/marchives/fuzzy-mail/index.html