1999 AAAI Spring Symposium on AI in Equipment Maintenance Service and Support
March 22-24, 1999, Stanford University, Palo Alto, CA
(Paper Deadline: October 23, 1998)
http://best.me.berkeley.edu/~goebel/ss99/aies.html
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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. The service market delivered will include manufacturing (such as aircraft
engines, appliances, locomotives, etc.) and non-manufacturing (such as financial systems, medical
systems, etc.) based businesses.
This symposium 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
-Remote monitoring and diagnosis tasks
-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
Organizing Committee:
Alice Agogino, Department of Mechanical Engineering, UC Berkeley,
(aagogino@euler.me.berkeley.edu);
Piero Bonissone, GE Corporate Research and Development, Schenectady, NY (bonissone@crd.ge.com);
Kai Goebel, GE Corporate Research and Development, Schenectady, NY (goebelk@crd.ge.com);
George Vachtsevanos, The School of Electrical and Computer Engineering, Georgia Institute of
Technology, Atlanta, (george.vachtsevanos@ee.gatech.edu)
The symposium will consist of one or two invited talks, followed by
short presentations and longer discussions, in an atmosphere that
encourages the interaction of researchers with different backgrounds.
There will be plenty of opportunity to discover common ground between
different fields and application domains.
Submissions
All types of papers are sought, including papers describing theory, algorithms, applications,
systems, performance measures, and other issues related to AI in Equipment Maintenance Service and
Support. Papers on work in progress are encouraged. Other interested participants should send a
short description of their research interests with a list of relevant publications. Suggestions for
panel and group discussions are also
welcome. Send all submissions (8 pages maximum) electronically to goebelk@crd.ge.com. If you are
unsure whether your file will print at our site, please submit four days before the deadline (October
21, 1998) in order to receive a confirmation to Kai Goebel, GE Corporate Research and Development,
K1-5C4A, One Research Circle,
Niskayuna, NY 12309, USA. More information is available at the web site
http://best.me.berkeley.edu/~goebel/ss99/aies.html