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首页> 外文期刊>IEEE Transactions on Industrial Electronics >A Correlation-Based Distributed Fault Detection Method and Its Application to a Hot Tandem Rolling Mill Process
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A Correlation-Based Distributed Fault Detection Method and Its Application to a Hot Tandem Rolling Mill Process

机译：基于关联的分布式故障检测方法及其在热连轧中的应用

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摘要

In a hot tandem rolling mill (HTRM) process, the operating performance of mill stands can determine the quality of steel products, thus, should be properly monitored. Unlike previous work, which focused on a single stand or multiple stands together, this paper proposes an improved statistical fault detection (FD) method for real-time process monitoring of a target stand by considering its correlation with neighboring stands. First, it is verified that the detection performance of the traditional statistical FD method can be improved by reducing the influence of noises in process data. Then, a distributed canonical correlation analysis (CCA)-based FD method is developed to reduce the influence at the target stand by means of the compressed data transmitted from neighboring stands through a communication network. Furthermore, the proposed method can decrease the transmission and computational costs incurred by the centralized CCA method, which makes it applicable to the HTRM process. A hardware-in-the-loop simulation is finally carried out to validate the proposed method, where better monitoring performance is shown compared with the existing methods.
机译：在热连轧机（HTRM）工艺中，轧机机架的运行性能可以决定钢材的质量，因此，应对其进行适当的监控。与以前的工作侧重于单个机架或多个机架不同，本文提出了一种改进的统计故障检测（FD）方法，该方法通过考虑目标机架与相邻机架的相关性来对目标机架进行实时过程监视。首先，验证了可以通过减少过程数据中噪声的影响来提高传统统计FD方法的检测性能。然后，开发了一种基于分布式规范相关分析（CCA）的FD方法，以通过从相邻机架通过通信网络传输的压缩数据来减少对目标机架的影响。此外，所提出的方法可以减少由集中式CCA方法引起的传输和计算成本，从而使其适用于HTRM过程。最后进行了硬件在环仿真，以验证所提出的方法，与现有方法相比，该方法显示出更好的监视性能。

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