Automated analysis approaches for Structural Health Monitoring on aerospace primary structure with ultrasonic and electromagnetic sensor arrays

利用超声波和电磁传感器阵列对航空航天主结构进行结构健康监测的自动分析方法

• 批准号: 2737813
• 金额: --
• 依托单位: University of Bristol
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2022
• 资助国家: 英国
• 起止时间: 2022 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2737813
• 关键词: Automated; analysis; approaches; Structural; Health

The aim of the project is to develop permanently installed multi-modal sensors for monitoring structural hotspots. In this context a hotspot is a localised region of the structure that is thought to be a potential location for defect formation and growth. This project will explore data fusion approaches based on ultrasonic and eddy current array data. Arrays would be used to form maps of a local region covering a hotspot. A key research aim is to ensure that these maps achieve the required resolution to accurately detect damage and that the coverage region is as extensive as possible. The other key challenge is to design arrays that are low cost and reliable. Whilst the sensors will be permanently installed, the associated electronic instrumentation could be separate. Periodic in-situ measurements using portable electronics could be employed for connecting to the sensors and readings taken. This could be via wired sensors of via electromagnetic coupling (i.e. near field communication).

该项目的目的是开发永久安装的多模态传感器，用于监测结构热点。在本文中，热点是结构的局部区域，其被认为是缺陷形成和生长的潜在位置。本计画将探讨超音波与涡流阵列资料之资料融合方法。数组将用于形成覆盖热点的局部区域的地图。一个关键的研究目标是确保这些地图达到所需的分辨率，以准确地检测损坏，并覆盖区域尽可能广泛。另一个关键挑战是设计低成本和可靠的阵列。虽然传感器将被永久安装，但相关的电子仪器可以是单独的。可采用使用便携式电子设备的定期现场测量来连接传感器并获取读数。这可以经由有线传感器或经由电磁耦合（即，近场通信）。