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A Knowledge-based System for Hydraulic Maintenance of a Continuous Miner [1989]

Public Domain
File Language:
English


Details

  • Personal Author:
    Mitchell J
  • Description:
    The U.S. Bureau of Mines is conducting research on the application of expert systems technology to mining equipment diagnostics and predictive maintenance, to increase mining productivity and efficiency. One of the greatest hindrances to mining productivity is the breakdown of equipment, causing lengthy and costly delays. A diagnostic maintenance expert system (dimes) is being developed for the hydraulic system of a continuous coal mining machine. Through the use of such a system, the frequency of equipment failures and repair time should be significantly reduced. This paper describes the application domain, the functional requirements, and the problem approach for dimes, the design andimplementation of the knowledge-based system, the sensor work involved with the project, and the future plans for the continued development of this and other expert systems. [Description provided by NIOSH]
  • Subjects:
  • Series:
    Mining Publications
  • Document Type:
    Text
  • Genre:
    Journal Article
  • CIO:
    National Institute for Occupational Safety and Health (NIOSH)
  • Division:
    PRC - Pittsburgh Research Center
  • Topic:
    Workplace Safety & Health
  • Location:
    North America
  • NIOSHTIC Number:
    nn:10007007
  • Citation:
    Ch 90 Proc of 21st Int'l Symp on Appl of Computers Soc Min Eng AIME 1989 :993-1002
  • Federal Fiscal Year:
    1989
  • Peer Reviewed:
    False
  • Collection(s):
  • Main Document Checksum:
    urn:sha-512:7dc847c09aedf140bc731323e8446b4703641ae07d6ad9e7b7238120dab30b8f7dcaa9b938d34d035f87873a0fe7fec262d5d13dcaf290925445e82b6de3b57d
  • Download URL:
  • File Type:
    Filetype[PDF - 168.02 KB ]
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