Health monitoring to detect pre-fault conditions for integrated electrical power - carbon fibre composite structure systems

用于检测集成电力碳纤维复合结构系统故障前状况的健康监测

• 批准号: 2902527
• 金额: --
• 依托单位: University of Strathclyde
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2902527
• 关键词: Health; monitoring; detect; pre; fault

This PhD will develop methods for health monitoring of integrated electrical power and carbon fibre, enabling the early stage detection and location of degradation in these integrated systems, before an electrical fault develops, thus significantly reducing the number of electrical faults during flight. Hence this will enable truly resilient, integrated systems design, reducing flight hours in post-electrical fault conditions and costly, unscheduled time out of service for maintenance. This research directly supports the design and implementation of resilient integrated systems on future aircraft and engines, supporting both electrification and lightweight agendas which are critical enablers for decarbonisation of flight.A particular challenge is the hazardous environment that the aero-electrical power system must operate in, with high levels of vibration, extreme temperature and low atmospheric pressure. These all contribute to system degradation, and ultimately electrical faults. It would be highly advantageous to be able to detect and locate this degradation at an early stage, before an electrical fault can occur. This requires the design and implementation of appropriate heath monitoring approaches, and is a key focus of this PhD. Hence the PhD will open up a new area of research, branching out from ongoing research on fault diagnostics and protection for integrated electrical power and composite structure design, into health monitoring and prognostics for these systems.For the successful development of a health monitoring method for an integrated electrical power and CFRP structural system, the project will first understand the degradation process of the integrated electrical CFRP system from a healthy system to a faulted system. Second, the project will utilise this information on degradation processes and behaviours to identify thresholds for degradation detection and translate these to electrical power system, CFRP layup and integrated systems design decisions.

该博士将开发集成电力和碳纤维的健康监测方法，从而能够在电气故障发生之前早期检测和定位这些集成系统的退化，从而显着减少飞行期间的电气故障数量。因此，这将实现真正有弹性的集成系统设计，减少电气故障后的飞行时间以及成本高昂的计划外停机维护时间。这项研究直接支持未来飞机和发动机上弹性集成系统的设计和实施，支持电气化和轻量化议程，这是飞行脱碳的关键推动因素。一个特殊的挑战是航空电力系统必须在危险的环境中运行，具有高水平振动、极端温度和低气压。这些都会导致系统性能下降，并最终导致电气故障。能够在电气故障发生之前的早期阶段检测并定位这种退化将是非常有利的。这需要设计和实施适当的健康监测方法，也是本博士研究的重点。因此，博士将开辟一个新的研究领域，从正在进行的集成电力和复合结构设计的故障诊断和保护研究扩展到这些系统的健康监测和预测。一个集成电力和CFRP结构系统，该项目将首先了解集成电力CFRP系统从健康系统到故障系统的退化过程。其次，该项目将利用有关退化过程和行为的信息来确定退化检测的阈值，并将其转化为电力系统、CFRP 铺设和集成系统设计决策。