Abstract
The state evaluation of mining electromechanical equipment is important but complicated, for the complexity, nonlinearity and the ambiguity of the influence factors. In this paper, a novel indicator system to assess the state of mining equipment is constructed from three main aspects, namely the product quality of the equipment, their operating conditions and statistic data of historical states. The ambiguity-fuzzy method and grey-sum method are both employed to evaluate different influence factors, and are summed up together as the final evaluation result by dynamic weighting function, which is derived from a modified expert scoring mechanism we propose. We further implement the proposed evaluation system and verify the effectiveness of the evaluation system through real data set based experiments. The experimental results indicate that this system is of important guiding significance to the state evaluation of coal mine equipment and safe production in coal mines.
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