Assesment of on-wing engine health based on non-linear dynamic engine behaviour

基于非线性动态发动机行为的在翼发动机健康状况评估

• 批准号: EP/K504075/1
• 负责人: David Ewins
• 金额: $ 18.76万
• 依托单位: University of Bristol
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2013
• 资助国家: 英国
• 起止时间: 2013 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FK504075%2F1
• 关键词: Assesment; wing; engine; health; based

There have been significant developments over the last 10 years in the field of predictive health sensing in the aerospace sector, with the majority of benefits realised from the prediction of aero engine performance deterioration. The area that has not yet been developed is the prediction of deterioration in the structural dynamics behaviour leading to unplanned engine maintenance. The purpose of this program is to develop a novel approach based on the sensing of non linear behaviour of engines on-wing as a measure of abnormal engine deterioration. The techniques developed will then besubjected to a verification and validation program designed so that it will act as an enabler to claim maintenance credits with the airworthiness authorities and facilitate the use of prediction of remaining useful life in the management of assets. This project provides predictive algorithm and decision making techniques.

在过去的10年中，航空航天领域的预测健康感测领域取得了重大发展，其中大部分好处来自航空发动机性能恶化的预测。尚未开发的领域是预测结构动力学行为的恶化导致计划外的发动机维护。该计划的目的是开发一种新的方法，该方法基于翼上发动机非线性行为的传感，作为发动机异常劣化的测量。所开发的技术随后将经受验证和确认程序的检验和确认，该程序的设计目的是使其能够向适航当局申请维护信用，并促进在资产管理中使用剩余使用寿命的预测。该项目提供预测算法和决策技术。