Intelligent Condition Monitoring for Civil Nuclear Structures

该项目的目标是为民用核工业发展增强的振动状态监测能力。通过与布里斯托尔大学的合作，这一目标成功实现，从而通过新的和正在使用的硬件平台开发出新的智能算法。由于这个项目，Beran现在有机会扩大其客户分析的机器范围，包括工厂平衡。Beran通过分析法国电力公司5年来7个电站的历史振动数据，证明了概念验证，最终成功结束了项目技术验证试验。其影响是EDF能源公司的认可，为常规振动监测节省了25%的时间。该项目的潜在好处包括更广泛的资产覆盖范围，优化的维护和终身成本节约，提高可靠性和安全性，通过预测性维护和改进的维护反馈提高工厂的可用性。

The projects objective was to develop enhanced vibration condition monitoring capability for the civil nuclear industry. Through collaboration with the University of Bristol this objective was successfully achieved, resulting in the development of novel intelligent algorithms for exploitation through new and in-service hardware platforms.As a result of this project Beran now have an opportunity to widen the scope of machines analysed by its customers to include balance-of-plant. Beran have demonstrated proof-of-concept through analysis of five years’ worth of EDF Energy historic vibration data for seven power stations, culminating in a successful end of project technology demonstrator trial. The impact of which was an endorsement by EDF Energy for 25% time saving in routine vibration monitoring.Potential benefits from this project include wider asset coverage, optimised maintenance and through-life cost savings, increased reliability and safety, increased availability of plant through predictive maintenance and improved maintenance feedback.