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The Intelligent Forecasting Method of Mine Equipment Maintenance Plan

机译:矿井设备维修计划的智能预测方法

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Aimed at the actuality of the Mine-Concentrator, Dexing Copper-mine, the paper comprehensively apply such technology as the statistics analysis, the forecasting theory, the pattern recognition, the neutral networks and the expert system etc, to study the intelligent method of equipment maintenance management. By utilizing the information of BP network, on the base of learning, the classify system is established. By equipment practical state, scientific and reasonable dynamic decision is established in order to cut down surplus detection and surplus maintenance, which provides technology support for mine equipment' long-periodic operation.
机译:针对矿井集中器,德兴铜矿的现状,本文全面地应用了这样的技术作为统计分析,预测理论,模式识别,中性网络和专家系统等,研究了智能化的设备维护管理。通过利用BP网络的信息,在学习基础上,建立了分类系统。通过设备实际状态,建立科学合理的动态决策,以减少剩余检测和剩余维护,为矿井设备的长期运行提供技术支持。

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