SERENA: Versatile Plug-and-Play Platform Enabling Remote Predictive Maintenance

S. Makris, N. Nikolakis, Konstantinos Dimoulas, A. Papavasileiou, M. Ippolito
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引用次数: 1

Abstract

Modern technology in the context of Industry 4.0, including sensors and embedded systems, data analytics and advanced networking, are key enabling technologies towards minimizing downtime of the production system. Empowered by the aforementioned, this study discusses a conceptual framework of a predictive maintenance approach based on equipment condition-based modeling and evaluation, as a step towards reducing breakdowns as well as the overall maintenance costs, through a more efficient time scheduling of the maintenance operations.
多功能即插即用平台,支持远程预测性维护
工业4.0背景下的现代技术,包括传感器和嵌入式系统、数据分析和先进的网络,是最大限度地减少生产系统停机时间的关键技术。基于上述内容,本研究讨论了基于设备状态建模和评估的预测性维护方法的概念框架,通过更有效的维护操作时间安排,减少故障和总体维护成本。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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