Intelligent Adaptive EHM

“智能自适应EHM”是一个由罗尔斯·罗伊斯、Altran、Artesis、Humaware和谢菲尔德大学组成的财团提供的研究项目，他们正在开发对设备健康管理（EHM）能力的重大改进：将智能自适应引入飞机系统，以最大限度地提高EHM的可预测性；监测新的燃气轮机贫燃燃烧技术；改进来自远程设备的信息制定，根据设备条件、环境和状态优化数据馈送；并对综合电力系统开发更高层次的系统控制，使系统重构能够减少故障系统组件的退化。这将提高燃气涡轮发动机的可靠性和IPS系统的鲁棒性。总的来说，这项研究将大大提高EHM在诊断和预测故障方面的可预测性，同时减少错误警报。

'Intelligent Adaptive EHM' is a reasearch project delivered by a consortium comprising Rolls-Royce, Altran, Artesis, Humaware and the University of Sheffield who are developing a major improvement to Equipment Health Management (EHM) capability to: introduce intelligent adaptation to on-aircraft systems to maximise predictability of EHM; to monitor new lean burn combustion technology in Gas Turbines; improving the formulation of information from remote equipment, where the data feed is optimised according to equipment condition, context and state; and developing higher level systems control over integrated electrical power systems, that enables system reconfiguration to reduce degradation of faulty system components. This will result in higher Gas Turbine engine reliability and IPS system robustness. Overall this research will substantially improve the predictability of EHM in diagnosing and prognosing faults, whilst reducing false alerts.