SENTINEL – ScalablE predictive maiNTenance system for INtELligent prognosis and condition monitoring
SENTINEL – ScalablE predictive maiNTenance system for INtELligent prognosis and condition monitoring
批准号:
133306
负责人:
金额:
$29.69万
依托单位:
依托单位国家:
英国
项目类别:
Feasibility Studies
财政年份:
2018
资助国家:
英国
项目状态:
已结题
起止时间:
2018 至 --
中文摘要
“预测性维护(PdM)是工业物联网(IIoT)的关键部分,依赖于数据的质量和数量。目前,市场上还没有一种系统能够提供足够的可靠性、质量和数量的数据,并且具有足够的成本效益,可以通过全面的数据分析来处理多个数据流。对于许多制造商来说,这是一个关键障碍,他们需要有效的预测性维护解决方案,而不需要高投资要求/未知的回报时间。SENTINEL将开发一种新的自动化预测方法,用于预测性维护和状态监测,以克服高投资成本。这将帮助英国制造商通过减少计划外停机时间来提高生产效率,从而提高整体设备效率,并有助于降低维护成本。”
英文摘要
"Predictive maintenance (PdM) is a key part of the Industrial Internet of things (IIoT) and is reliant upon data quality and quantity. Currently there are no systems on the market that can provide sufficient reliability, quality and quantity of data that is cost effective enough to handle multiple streams of data with comprehensive data analytics. This is a key barrier for many manufacturers who are demanding effective predictive maintenance solutions without the high investment requirements/unknown payback timeframes.SENTINEL will develop a novel automated prognostics approach for predictive maintenance and condition monitoring which overcomes the high investment cost. This will help UK manufacturers become more productive through reducing unplanned downtime to increase overall equipment efficiency and helping to reduce maintenance costs."
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
国内基金
海外基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
-
批准号:--
-
项目类别:合作创新研究团队
-
资助金额:--
-
批准年份:2024
-
负责人:姚韬
-
依托单位: