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A Cyber-Physical Failure Management System for Smart Factories

机译:智能工厂的网络物理故障管理系统

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In smart factories, maintenance is still an important aspect to safeguard the performance of their production. Especially in case of failures of machine components diagnosis is a time-consuming task. This paper presents an approach for a cyber-physical failure management system, which uses information from machines such as programmable logic controller or sensor data and IT systems to support the diagnosis and repairing process. Key element is a model combining the different information sources to detect deviations and to determine a probable failed component. Furthermore, the approach is prototypically implemented for leakage detection in compressed air networks.
机译:在智能工厂中,维护仍然是保障其生产性能的重要方面。特别是在机器组件故障的情况下,诊断是耗时的任务。本文提出了一种网络物理故障管理系统的方法,它使用来自可编程逻辑控制器或传感器数据和IT系统等机器的信息来支持诊断和修复过程。密钥元素是组合不同信息源来检测偏差的模型,并确定可能的失败组件。此外,该方法是在压缩空气网络中进行泄漏检测的原型实现。

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