1992 Goddard Conference on Space Applications of Artificial Intelligence
Author : James L. Rash
Publisher :
Page : 268 pages
File Size : 11,36 MB
Release : 1992
Category : Artificial Intelligence
ISBN :
Author : James L. Rash
Publisher :
Page : 268 pages
File Size : 11,36 MB
Release : 1992
Category : Artificial Intelligence
ISBN :
Author : Carl F. Hostetter
Publisher :
Page : 304 pages
File Size : 14,26 MB
Release : 1993
Category : Artificial intelligence
ISBN :
Author : Carl F. Hostetter
Publisher :
Page : 394 pages
File Size : 31,60 MB
Release : 1995
Category :
ISBN :
Author : Carl F. Hostetter
Publisher :
Page : 384 pages
File Size : 44,82 MB
Release : 1994
Category : Artificial intelligence
ISBN :
Author :
Publisher :
Page : 1994 pages
File Size : 30,69 MB
Release : 1995
Category : Government publications
ISBN :
Author :
Publisher :
Page : 394 pages
File Size : 13,69 MB
Release : 1995
Category : Artificial intelligence
ISBN :
Author :
Publisher :
Page : 1168 pages
File Size : 45,36 MB
Release :
Category : Government publications
ISBN :
Author :
Publisher :
Page : 602 pages
File Size : 11,73 MB
Release : 1995
Category : Aeronautics
ISBN :
Lists citations with abstracts for aerospace related reports obtained from world wide sources and announces documents that have recently been entered into the NASA Scientific and Technical Information Database.
Author : James L. Rash
Publisher :
Page : 268 pages
File Size : 43,37 MB
Release : 1992
Category : Artificial Intelligence
ISBN :
Author : Ian P. Mulholland
Publisher : Transportation Research Board
Page : 68 pages
File Size : 49,46 MB
Release : 1994
Category : Computers
ISBN : 9780309053648
This report documents and presents the results of a study to determine the feasibility of applying Artificial Intelligence (AI) techniques to the diagnosis of transit railcars. The AI techniques investigated were expert systems, case-based reasoning, model-based reasoning, artificial neural networks, computer vision, fuzzy logic, and a procedural knowledge-based system. Site surveys were conducted at transit railcar maintenance facilities and at railcar subsystem suppliers. The site surveys gathered information about current and future diagnostic and maintenance practices, possible barriers to implementing advanced AI technology, and maintenance cost data. An economic analysis was performed to provide an estimate of cost savings expected by reducing the diagnostic effort.