Knowledge-based diagnosis for aerospace systems
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Knowledge-based diagnosis for aerospace systems

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Published by National Aeronautics and Space Administration, Jet Propulsion Laboratory, California Institute of Technology, National Technical Information Service, distributor in Pasadena, Calif, [Springfield, Va .
Written in English


  • Aerospace systems.,
  • Automatic control.,
  • Diagnosis.,
  • Knowledge representation.,
  • Systems analysis.

Book details:

Edition Notes

Other titlesKnowledge based diagnosis for aerospace systems.
StatementDavid J. Atkinson.
SeriesNASA contractor report -- NASA CR-182641.
ContributionsJet Propulsion Laboratory (U.S.)
The Physical Object
Pagination1 v.
ID Numbers
Open LibraryOL18077618M

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Get this from a library! Knowledge-based diagnosis for aerospace systems. [David J Atkinson; Jet Propulsion Laboratory (U.S.)]. Knowledge-Based Diagnosis. In book: Machine Intelligence and Autonomy for Aerospace Systems, Chapter: 10, Publisher: American Institute of Aeronautics and Astronautics, Editors: Ewald Heer, pp. Knowledge-based diagnosis for aerospace systems [microform] / David J. Atkinson National Aeronautics and Space Administration, Jet Propulsion Laboratory, California Institute of Technology ; National Technical Information Service, distributor Pasadena, Calif.: [Springfield, Va Australian/Harvard Citation. Atkinson, David John.   American Institute of Aeronautics and Astronautics Sunrise Valley Drive, Suite Reston, VA

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Forest Firefighting Monitoring System Based on UAV Team and Remote Sensing: /ch In this chapter, the authors propose an approach to using a heterogeneous team of unmanned aerial vehicles and remote sensing techniques to perform tacticalCited by: 7. The telerobot diagnostic system (TDS) is a knowledge-based system that is being developed for identification and diagnosis of failures in the space robotic domain. The system is able to isolate the symptoms of the failure, generate failure hypotheses based on these symptoms, and test their validity at various levels by interpreting or simulating the effects of the hypotheses on results of . Knowledge-based artificial intelligence systems in aerospace and industry. Bellingham, Wash.: SPIE, © (OCoLC) Material Type: Conference publication, Internet resource: Document Type: Book, Internet Resource: All Authors / Contributors: Wray Buntine; Douglas H Fisher; Society of Photo-optical Instrumentation Engineers. 7. Fault diagnosis using knowledge-based models Knowledge-based methods (expert systems) com- plement the existing analytical and algorithmical methods of fault detection: thzy open a new dimension of possible fault diagnosis for complex processes with incomplete process by: