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A General Design and Implementation Procedure for Sensor-Based Electrical Diagnostic Systems for Mining Machinery [RI 9443]

Public Domain
File Language:
English


Details

  • Personal Author:
  • Corporate Authors:
    United States. Bureau of Mines
  • Description:
    "Component failures in the electrical control circuits of mining machines account for a large percentage of the total downtime of the machine. Once a failure has occurred it is always a tedious and usually a time-consuming task to locate the failed component. Moreover. the pressure to quickly locate the cause of a delay can lead to compromises in safety. Thus an onboard diagnostic system. essential for an automated machine, would be a very useful addition to existing machines. This report details U.S. Bureau of Mines development of a generic procedure for synthesizing diagnostic systems for electrical-control-circuit failures in mining machinery. A continuous mining machine is used as the testbed to illustrate the application of the developed methodology. Substantive differences among mining machine control circuits made it impossible to achieve a generic diagnostic system. but a generic approach for the synthesis of the diagnostic system was possible. As the research progressed. it became apparent that an algorithmic approach was better than an expert-system-based implementation. A prototype system was constructed and used to evaluate the diagnostic system. Prototype implementation issues are also examined." - NIOSHTIC-2

    NIOSHTIC no. 10003140

  • Subjects:
  • Series:
    Mining Publications
  • Subseries:
    Report of Investigations
  • Document Type:
    Text
  • Genre:
    Report
  • CIO:
    National Institute for Occupational Safety and Health (NIOSH)
  • Topic:
    Workplace Safety & Health
  • Location:
    North America
  • NIOSHTIC Number:
    nn:10003140
  • Federal Fiscal Year:
    1993
  • Collection(s):
  • Main Document Checksum:
    urn:sha-512:454cd7f248058dbba5241cc24b6482fab34be8b6ed785e804481022975bf2f68b4188edc487ed68e871b4d6f11b365d067c052f9ab03d7a4b8a9be2c6ddb8f43
  • Download URL:
  • File Type:
    Filetype[PDF - 3.33 MB ]
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