Intelligent Condition Monitoring for Civil Nuclear Structures

民用核结构智能状态监测

• 批准号: EP/L504713/1
• 负责人: Nick Lieven
• 金额: $ 15.43万
• 依托单位: University of Bristol
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2013
• 资助国家: 英国
• 起止时间: 2013 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FL504713%2F1
• 关键词: Intelligent; Condition; Monitoring; Civil; Nuclear

Building on its successful feasibility study, where a potential 25% time-saving for machine fault diagnosis wasdemonstrated, the consortium aims to achieve Intelligent Condition Monitoring (ICM) for the civil nuclear industry. Thisproject will enable Beran and EDF Energy to extend health monitoring to a wider range of machinery, structures and newcivil nuclear plants.The technology adopted is derived from a physical understanding of non-linearities arising from degradation ofcomponents, utilising expertise in prognostic algorithms from the University of Bristol. The analysis tools will utilise methodsalready used extensively in the aerospace and medical sector, which will be adapted for use within nuclear power plantsystems. Industry benefits include increased accuracy, reliability and safety, greater availability of plant through predictivemaintenance, improved operator intelligence, resulting in enhanced plant performance and reduced operating costs.

在其成功的可行性研究的基础上，该联盟的目标是实现民用核工业的智能状态监测（ICM），该研究表明机器故障诊断可能节省25%的时间。该项目将使Beran和EDF Energy能够将健康监测扩展到更广泛的机械、结构和新的民用核电站。所采用的技术源自对组件退化引起的非线性的物理理解，利用布里斯托大学的预测算法专业知识。分析工具将采用在航空航天和医疗部门广泛使用的方法，这些方法将适用于核电站系统。行业效益包括提高准确性、可靠性和安全性，通过预测性维护提高工厂可用性，提高操作员智能，从而提高工厂性能并降低运营成本。

项目成果

Gearbox condition monitoring under variable operational conditions

• 发表时间: 2014-07
• 作者: D. Toshkova;N. Lieven;P. Morrish;B. Titurus;Will Moore;N. Brinkworth

Adaptive event-triggered anomaly detection in compressed vibration data

• DOI: 10.1016/j.ymssp.2018.12.039
• 发表时间: 2019-05
• 期刊: Mechanical Systems and Signal Processing
• 影响因子: 8.4
• 作者: Yang Zhang;P. Hutchinson;N. Lieven;J. Núñez-Yáñez

Applying extreme value theory for alarm and warning levels setting under variable operating conditions

应用极值理论进行可变操作条件下的警报和警告级别设置

• 发表时间: 2016
• 作者: Toshkova