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A Novel Lifecycle Operation Performance Evaluation Framework for Plant-Wide Industrial Processes

机译:用于植物 - 宽工业工业过程的新型生命周期运行性能评估框架

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In the modern complex industrial process, such as hot strip mill process (HSMP), the safety and optimality of the production process may deteriorate and operation performance will be degraded due to the wear of equipment, mode conversion and random disturbances. If the process is not adjusted and maintained, there may be more serious faults resulting in greater economic losses and potential safety hazards. Hence, it is essential to develop comprehensive operation performance evaluation. In this paper, a novel lifecycle operation performance evaluation framework based on multi-step total projection to latent structures (T-PLS) is proposed, which is used to deal with normal or faulty performance evaluate problems in the plant-wide HSMP. Firstly, HSMP can be divided into upstream, midstream and downstream by the actual process. Then, the T-PLS monitoring model is established gradually in each stream. Based on the pre-designed transmission rules of fault prior information, comprehensive statistical indexes are constructed to judge whether the process is in normal or faulty operation state. After that, the lifecycle performance evaluations are realized by different evaluation rules. Finally, the feasibility and effectiveness of the proposed method are illustrated through a real HSMP.
机译:在现代化的复杂工业过程中,如热带轧机工艺(HSMP),生产过程的安全性和最优性可能会劣化,由于设备的磨损,模式转换和随机干扰,运行性能会降低。如果未调整和维护过程,可能存在更严重的故障,从而产生更大的经济损失和潜在的安全危害。因此,必须开发全面的操作绩效评估。本文提出了一种基于多步骤总投影的新型生命周期运行性能评估框架,其用于处理正常或故障的性能,评估植物HSMP中的问题。首先,HSMP可以分为实际过程的上游,中游和下游。然后,在每个流中逐渐建立T-PLS监测模型。基于预先设计的故障传输规则先前信息,构建了全面的统计指标以判断该过程是否处于正常或故障状态。之后,使用不同的评估规则实现生命周期性能评估。最后,通过真正的HSMP说明了所提出的方法的可行性和有效性。

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