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核电行业的智能状态监测（ICM）。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组件退化引起的非线性的物理理解。利用布里斯托大学在预测算法方面的专门知识，将对航空航天和医疗部门已经使用的方法进行调整和开发，以便在核电站系统中使用。行业优势包括提高准确性、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。

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.