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.

该博士将开发用于对综合电力和碳纤维进行健康监测的方法，从而使这些集成系统中的早期阶段检测和降解的位置在发生电气故障之前，从而大大减少了飞行过程中电气故障的数量。因此，这将实现真正的弹性，集成的系统设计，减少电信后故障条件下的飞行时间，并耗资昂贵的，不定期的时间表以进行维护。这项研究直接支持对未来飞机和发动机的弹性集成系统的设计和实施，支持电气化和轻质议程，这是飞行脱碳的关键推动力。特殊的挑战是空气电动电力系统必须在危险的环境中起作用的危险环境，并且具有高度的振动，极高的温度和低大气压力。这些都导致系统降解，并最终导致电故障。能够在发生电故障之前在早期阶段检测和定位这种降解将是非常有利的。这需要设计和实施适当的卫生监控方法，并且是该博士学位的重点。因此，博士将开辟一个新的研究领域，从正在进行的有关故障诊断的研究和对集成电力和复合结构设计的保护进行分支，以对这些系统的健康监测和预后进行。为成功开发了用于整合电力和CFRP结构系统的健康监测方法，该项目将首先了解整体系统的脱离系统，从而使系统脱离系统。其次，该项目将利用有关降解过程和行为的此信息来识别降解检测的阈值，并将其转化为电力系统，CFRP上载和集成系统设计决策。