Development of a sentry smart bearing as a node for connectivity and monitoring of steelmaking system

E. Brusa
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引用次数: 6

Abstract

The Model Based Systems Engineering (MBSE) is herein applied to design a physical node for an interconnected system, based upon data exchange. As a test case the concept of smart bearing equipped with sensors to be used to monitor a cold rolling mill is preliminarily developed. The paper focuses on the two activities of inner and outer monitoring of the bearing service. Outer monitoring is aimed at detecting any abnormal operation of the cluster mill, while the inner one identifies any symptom of damage within the bearing components. The effectiveness of the MBSE approach is investigated, whilst the system is decomposed and analyzed. Layout, connectivity and autonomous power generation are assumed as a reference to assess a preliminary design synthesis, by resorting to some available technologies, and to check the suitability of the smart bearing for the proposed application. Limitations and benefits of the MBSE approach within this context are even discussed.
作为炼钢系统连接和监控节点的哨兵智能轴承的研制
基于模型的系统工程(MBSE)在此应用于基于数据交换的互联系统的物理节点设计。作为试验用例,初步提出了安装传感器的智能轴承用于冷轧机监测的概念。本文重点介绍了轴承服务的内部监测和外部监测两种活动。外部监测旨在检测集群磨机的任何异常运行,而内部监测旨在识别轴承部件内部的任何损坏症状。研究了MBSE方法的有效性,并对系统进行了分解和分析。假设布局、连通性和自主发电作为参考,通过采用一些可用的技术来评估初步设计综合,并检查智能轴承对拟议应用的适用性。在这种情况下,甚至还讨论了MBSE方法的局限性和优点。
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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