SENTINEL – ScalablE predictive maiNTenance system for INtELligent prognosis and condition monitoring

SENTINEL — 用于智能预测和状态监测的可扩展预测维护系统

• 批准号: 133306
• 金额: $ 29.69万
• 依托单位: SENSEYE LIMITED
• 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
• 起止时间: 2018 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=133306
• 关键词: SENTINEL; ScalablE; predictive; maiNTenance; system

"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."

“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，市场上没有系统可以提供足够的可靠性，质量和数量的数据，这些数据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。对于许多需要有效的预测性维护解决方案而又不需要高投资要求/未知回报时间表的制造商来说，这是一个关键障碍。SENTINEL将开发一种用于预测性维护和状态监测的新型自动化方法，以克服高投资成本。这将有助于英国制造商通过减少计划外停机时间提高生产效率，从而提高整体设备效率并帮助降低维护成本。"