Extended Deadline CFP - 1999 AAAI Spring Symposium on AI in Equip
Goebel, Kai (CRD) (goebelk@crd.ge.com)
Tue, 20 Oct 1998 09:14:01 -0400
> Please note the extended deadline for abstract submission for the
> 1999 AAAI Spring Symposium on AI in Equipment Maintenance Service and Support
> March 22-24, 1999, Stanford University, Palo Alto, CA
>
> Deadline now: October 30, 1998
>
> http://best.me.berkeley.edu/~goebel/ss99/aies.html
> ------------------------------------------------------------------------
>
> 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 abstract submissions 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
> 26, 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
>
>
>