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A knowledge-based electrical diagnostic system for mining machine maintenance.
IEEE Trans Ind Appl 1990 Mar/Apr; 26(2):342-346
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 systems 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 U.S. Bureau of Mines has developed a knowledge-based system to diagnose component malfunctions in the electrical control circuit of a continuous mining machine. The system leads the user through the appropriate procedures required to quickly identify the faulty control circuit component. Graphical displays are incorporated within the system to assist the user in locating the various components and test points. Once the faulty component has been isolated, the system is capable of accessing a database which can provide mine personnel with information concerning specific component part numbers and the availability and location of spare parts.
Mining-industry; Mining-equipment; Electrical-equipment; Electrical-systems; Electricity; Equipment-design; Equipment-reliability; Machine-operation
B. E. Berzonsky, Pittsburgh Research Center, Bureau of Mines, U.S. Department of the Interior, P.O. Box 18070, Pittsburgh, PA 15236-0070
OP; Journal Article
Issue of Publication
IEEE Transactions on Industry Applications
Page last reviewed: September 2, 2020
Content source: National Institute for Occupational Safety and Health Education and Information Division