Dense medium separation circuits use a dense medium to separate low density waste material from high density valuable minerals. Since the dense medium is an expensive consumable, it is recovered after separation of the valuable minerals from waste. A dynamic nonlinear model of a dense medium separation circuit of an iron ore plant in South Africa is developed to track the flow of medium in the circuit. An extended Kalman filter is designed for estimating observable but unmeasured states. The model is validated using online plant data. This paper serves as a precursor for further work to detect and mitigate expensive medium losses in the circuit.

中文翻译：

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用于检测介质损失的动态重介质分离电路模型的建模、分析和验证

重介质分离回路使用重介质将低密度废料与高密度有价值矿物分离。由于致密介质是一种昂贵的消耗品，因此从废物中分离出有价值的矿物后将其回收。开发了南非铁矿厂重介质分离回路的动态非线性模型，用于跟踪回路中介质的流动。扩展卡尔曼滤波器设计用于估计可观察但未测量的状态。该模型使用在线工厂数据进行验证。本文为进一步工作检测和减轻电路中昂贵的介质损耗奠定了基础。