Intelligent Condition Monitoring for Civil Nuclear Structures

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。所采用的技术源于对部件退化引起的非线性的物理理解，利用了布里斯托尔大学的预测算法专业知识。分析工具将利用已经在航空航天和医疗部门广泛使用的方法，这些方法将被改装用于核电厂系统。行业优势包括提高了准确性、可靠性和安全性，通过预测和维护提高了工厂的可用性，改善了操作员的智能，从而提高了工厂的性能并降低了运营成本。

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.