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Maintenance and digital health control in smart manufacturing based on condition monitoring

机译:基于条件监控的智能制造中的维护和数字健康控制

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Smart manufacturing is the modern form of manufacturing that utilises Industry 4.0 enablers for decision making and resources planning by taking advantage of the available data. Therefore, the state of the art technologies are either replaced or improved using the newly introduced manufacturing paradigm. In practice, condition monitoring is an on-going activity that preserves the manufacturing facility capability to deliver its production aims and decrease the production discontinuity as much as possible. Against this background, this paper discusses the state of the art condition monitoring and proposes a framework of fault detection and decision making at different levels namely component and station. The introduced framework relies on Virtual Engineering (VE) and Discrete Event Simulation (DES) in smart manufacturing environments. The application of the suggested methodology and its implementation is demonstrated in a case study of a battery module assembly line.
机译:智能制造是现代制造形式,利用行业4.0推动者,通过利用可用数据来实现决策和资源规划。 因此,使用新引入的制造范式来更换或改进现有技术的状态。 在实践中,条件监测是一种正在进行的活动,可以保留制造工具能力,以提供其生产目的并尽可能地降低生产不连续性。 在此背景下,本文讨论了现实情况监测的状态,并提出了在不同级别的故障检测和决策框架中,即组件和站。 引入的框架依赖于智能制造环境中的虚拟工程(VE)和离散事件仿真(DES)。 在电池模块装配线的情况下,证明了建议方法及其实施的应用。

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