Leak Detection at Anglo Platinum Converting Process Using Digital Twins

D. Govindsamy; G.A. Georgalli; A. Hoosen

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Leak Detection at Anglo Platinum Converting Process Using Digital Twins

机译：使用数字双胞胎的Anglo Platinum转换过程的泄漏检测

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Leaks on the high-pressure cooling system supporting the Convertor at the Anglo Converting Process (ACP) poses safety risks and requires plant downtime to repair. The leaks are difficult to detect, as the accuracy of available sensors are insufficient at the operating conditions of the system. Fault detection using digital twins have been employed successfully in the process industry. This paper discusses the construction of digital twins for the leak detection problem at ACP and focuses on the practical considerations of data preparation and modelling. This analytic has been implemented in the control room Human Machine Interface and a web enabled dashboard.

机译：在Anglo转换过程（ACP）上支撑转换器的高压冷却系统上的泄漏构成安全风险，需要植物停机时间。泄漏难以检测，因为可用传感器的精度在系统的操作条件下不足。使用数字双胞胎的故障检测已在工艺业中成功使用。本文讨论了ACP泄漏检测问题的数字双胞胎的构建，专注于数据准备和建模的实际考虑。该分析已经在控制室人机界面和网络启用仪表板中实现。

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《IFAC PapersOnLine》 |2021年第21期|共6页
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D. Govindsamy; G.A. Georgalli; A. Hoosen;
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ACPFault DetectionDigital TwinsMachine LearningData Processing;

机译：ACPFAULT检测曲线TWINSMACHINE LearningData处理;

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Leak Detection at Anglo Platinum Converting Process Using Digital Twins

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