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Multi-stage Combination Prediction Model of Technical Condition Parameters of Equipment

机译:设备技术条件参数的多级组合预测模型

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Technical condition parameters prediction is one of key steps in CBM (Condition based Maintenance). As disadvantage of traditional methods, Base on theory of combination prediction, combining with Delay Time and two-stage prediction model, multi-stage combination prediction model is proposed. The model can solve the problem that complicated rule of variation in equipment condition and uncertainty characteristic. Through lubricating oil analysis and correlated prescribing, operation phase of equipment is parted. At the same time, every method adapt to every stage is found. The result shows the model works well and effectively.
机译:技术条件参数预测是CBM中的关键步骤之一(基于条件的维护)。 作为传统方法的缺点,基于组合预测理论,提出了与延迟时间和两级预测模型的组合,多级组合预测模型。 该模型可以解决设备条件和不确定性特征的复杂变化规则的问题。 通过润滑油分析和相关的规定,设备的操作阶段是分开的。 同时,找到适应每个阶段的每个方法。 结果显示了模型良好且有效地运行。

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