Intelligent Condition Monitoring for Civil Nuclear Structures

该项目的目标是提高民用核工业的振动状态监测能力。通过与布里斯托大学的合作，这一目标成功实现，从而开发出新型智能算法，可通过新的在役硬件平台进行开发。由于该项目，Beran现在有机会扩大客户分析的机器范围，将工厂平衡纳入其中。Beran通过分析EDF Energy七个发电站五年的历史振动数据，证明了概念验证，最终成功结束了项目技术演示器试验。该项目的潜在效益包括更广泛的资产覆盖范围、优化的维护和整个寿命周期的成本节约、提高的可靠性和安全性、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.