Abstract
ABSTRACT Equipment availability is the most significant factor in the productivity of many mines and processing plants. Machine breakdowns are not only expensive in terms of production losses but also important in meeting production schedules. In the case of an equipment breakdown, a large portion of the downtime is spent in locating the fault. For this reason, it is felt that an automated method is needed to assist the operator in the diagnostic process. In this paper, a diagnostic procedure is developed by modelling the partially known or imprecise relations and poorly defined variables found in a diagnostic environment. A diagnostic algorithm which relates the possible causes of a failure to their respective symptoms through fuzzy logic paths is presented. Application of the algorithm is illustrated by a simple example.
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