Knowledge-based electrical diagnostic system for mining machine maintenance

Journal Article · Thu Mar 01 04:00:00 EST 1990 · IEEE Transactions on Industry Applications (Institute of Electrical and Electronics Engineers); (USA)

DOI:https://doi.org/10.1109/28.54261· OSTI ID:6452299

Berzonsky, B E ^[1]

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1. Bureau of Mines, Pittsburgh, PA (USA). Pittsburgh Research Center

Studies indicate that a significant portion of all mining machine failures are associated with electrical system problems. As more highly automated machines are developed, the complexity of a machine's electrical control system can be expected to increase considerably, requiring a greater degree of skill and experience on the part of mine maintenance personnel. Knowledge-based expert diagnostic system can provide a powerful method of improving equipment maintenance by quickly diagnosing control circuit malfunctions and recommending appropriate repair procedures. To investigate the applicability of expert systems in the area of control circuit diagnostics, the Bureau of Mines has developed a knowledge-based system to diagnose component malfunctions in the electrical control circuit of a continuous mining machine. The expert system developed tool used to build the system, the structure and development of the knowledge base, and the software used to implement the graphical displays and equipment database, is discussed.

• OSTI ID: 6452299
• Journal Information: IEEE Transactions on Industry Applications (Institute of Electrical and Electronics Engineers); (USA), Journal Name: IEEE Transactions on Industry Applications (Institute of Electrical and Electronics Engineers); (USA) Vol. 26:2; ISSN 0093-9994; ISSN ITIAC
• Country of Publication: United States
• Language: English

Related Subjects

42 ENGINEERING
422000* -- Engineering-- Mining & Underground Engineering-- (1980-)
99 GENERAL AND MISCELLANEOUS
990200 -- Mathematics & Computers
COMPUTERIZED CONTROL SYSTEMS
CONTROL SYSTEMS
EXPERT SYSTEMS
GRAPHS
KNOWLEDGE BASE
MINING
NATIONAL ORGANIZATIONS
US BUREAU OF MINES
US DOI
US ORGANIZATIONS