Intelligent Condition Monitoring for Civil Nuclear Structures

民用核结构智能状态监测

• 批准号: 101423
• 金额: $ 22.21万
• 依托单位: BERAN INSTRUMENTS LIMITED
• 依托单位国家: 英国
• 项目类别: Collaborative R&D
• 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=101423
• 关键词: Intelligent; Condition; Monitoring; Civil; Nuclear

Building on its successful feasibility study, where a potential 25% time-saving for machine fault diagnosis was demonstrated, the consortium aims to achieve Intelligent Condition Monitoring (ICM) for the Nuclear Power Industry. This project will enable Beran and EDF Energy to extend health monitoring to a wider range of machinery, structures and new civil nuclear plants.The technology adopted is derived from a physical understanding of non-linearities arising from degradation of components. Utilising expertise in prognostic algorithms from the University of Bristol, methods already used in the aerospace and medical sector will be adapted and developed for use within nuclear power plant systems. Industry benefits include increased accuracy, reliability and safety, greater availability of plant through predictive maintenance, 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，该联盟的目标是为核电工业实现智能状态监测（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能源公司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。所采用的技术源于对部件退化引起的非线性的物理理解。利用布里斯托尔大学在预测算法方面的专业知识，已经在航空航天和医疗部门使用的方法将被改编和开发，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的可用性，提高操作员的智能，从而提高工厂性能并降低运营成本。