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From: hess@adminsun.ee.Virginia.EDU (Paul Hess)
Newsgroups: comp.ai,comp.ai.neural-nets,sci.research
Subject: DEMO AVAILABLE
Keywords: Artificial Intelligence (AI), Abductive Reasoning, AIM, Neural Networks, Jet Engines, diagnostics, machine learning
Message-ID: <1990Dec21.222107.6224@murdoch.acc.Virginia.EDU>
Date: 21 Dec 90 22:21:07 GMT
Sender: Paul Hess, AbTech Corporation
Followup-To: E-Mail Please
Organization: AbTech Corporation, 804-977-0686
Lines: 34


   Today I posted a copy of the AbTech Jet Engine Diagnostic Demonstration
on comp.binaries.ibm.pc.

   JEDI is the initial prototype of a jet engine diagnostic system for the
Pratt & Whitney JT8D-7 gas turbine engine, commonly found on-board the
Boeing 737 and DC-9 aircraft.  JEDI was developed under AbTech IR&D with
the NASA-Langley Research Center.  JEDI results from a combined application
of the AIM (TM) machine learning tool and other abductive modeling
techniques employed by AbTech.  It provides the baseline for the
development of an overall system diagnostic concept exhibiting the
following capabilities:

   - Fault Detection (*)
   - Fault Isolation
   - Degradation Estimation
   - Sensor Fault Detection (*)
   - Sensor Fault Isolation (*)
   - Dynamic Behavior Modeling
   - Diagnostic Conclusion Confidence Measures

   The asterisk (*) indicates the capabilities which are included in this
demonstration.

   If you have any trouble downloading this file, or if you wish a copy sent
to you, send us your US-MAIL address and we'll mail it to you.  A technical
background paper and user's manual are also available.

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Paul Hess                               E-Mail: hess@adminsun.ee.virginia.edu
AbTech Corporation                                        Phone  804-977-0686
700 Harris Street                                           Fax  804-979-3749
Charlottesville, Virginia  22901
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