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A cloud-based approach for maintenance of machine tools and equipment based on shop-floor monitoring

机译:基于云维护基于车间监控的机床和设备的方法

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Maintenance and its cost continue, over the years, to draw the attention of production management since the unplanned failures decrease the reliability of the system and also the return of investments. Advanced maintenance techniques that capture and process shop-floor information can reduce costs and increase the sustainability of an enterprise. This paper presents a condition-based preventive maintenance approach integrated into a machine monitoring framework. The latter acquires data from shop-floor machine tools and analyses them through an information fusion technique to support the condition-based preventive maintenance operations. The proposed approach is developed into a software service, deployed on a Cloud environment. The service gathers and processes data, such as their actual processing time and machining time per tool, related to the operation of machine tools and equipment and calculates the expected remaining useful life of components. Moreover, it provides notifications to machine tool operators and maintenance departments, as well as it enables the communication among them using mobile technology. The framework is applied to a case study with data obtained from a machining SME.
机译:多年来,维护及其成本持续,以引起生产管理的注意,因为无计划的失败降低了系统的可靠性以及投资回报。捕获和处理车间信息的先进维护技术可以降低成本并提高企业的可持续性。本文介绍了一种基于条件的预防性维护方法,集成到机器监控框架中。后者从车间机床中获取数据,并通过信息融合技术分析它们,以支持基于条件的预防性维护操作。所提出的方法是开发出的软件服务,部署在云环境上。服务收集和处理数据,例如每个工具的实际处理时间和加工时间,与机床和设备的操作相关,并计算其组件的预期剩余使用寿命。此外,它为机床运营商和维护部门提供通知,以及它可以使用移动技术实现它们之间的通信。该框架应用于与从加工中小企业获得的数据进行的案例研究。

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