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Remote Monitoring and Condition Based Maintenance of Power Electronics in Critical Energy and Transport Infrastructure

关键能源和交通基础设施中电力电子设备的远程监控和状态维护

基本信息

批准号：
60634
负责人：
金额：
$ 9.55万
依托单位：
AMANTYS POWER ELECTRONICS LTD.
依托单位国家：
英国
项目类别：
Feasibility Studies
财政年份：
2020
资助国家：
英国
起止时间：
2020 至无数据
项目状态：
已结题

来源：
https://gtr.ukri.org/projects?ref=60634
关键词：
Remote Monitoring Condition Based Maintenance

项目摘要

"Remote Monitoring and Condition Based Maintenance of Power Electronics in Critical Energy and Transport Infrastructure"Amantys will conduct a feasibility study, based on its proprietary power semiconductor junction temperature (Tj) estimation technology, to adapt existing techniques and develop new algorithms to enable a robust method of monitoring the condition of power electronics in converter stacks. This will enable remote monitoring of the condition of critical infrastructure assets such as the converters in off shore wind turbines or in rail traction systems and enable early predictive maintenance, reducing catastrophic failures and maximising up time of the assets in question.Societal benefits will include reduced cost of ownership of the assets, overall reduction in carbon emissions and greater resilience, particularly important in times of crisis.The project outcome will be CM algorithms validated using pre-existing data on modified existing hardware. The solution will be "ready to lab validate" at TRL 6/7 enabling rapid commercialisation.The Project is ready to benefit from an extension that will enable lab validation using deliberately "aged" and "degraded" semiconductor modules as a precusror to beta testing the capability with a customer from the target market verticals. Amantys also propose to examine each market, the roadmap to integration/adoption and ROI, working closely with an identified, "early adopter" to help accelerate the initial use.

“关键能源和运输基础设施中电力电子设备的远程监控和基于状态的维护”Amantys将基于其专有的电力半导体结温度(TJ)估计技术进行可行性研究，以适应现有技术并开发新的算法，以实现一种可靠的方法来监控变流器堆栈中的电力电子设备的状态。这将实现对关键基础设施资产(如离岸风力涡轮机或铁路牵引系统中的转换器)的远程监控，并实现早期预测性维护，减少灾难性故障并最大限度地延长资产的正常运行时间。社会效益将包括降低资产的拥有成本、整体减少碳排放和更大的弹性，这在危机时期尤为重要。项目成果将使用修改后的现有硬件上的预先存在的数据进行CM算法验证。该解决方案将在TRL 6/7上“准备好进行实验室验证”，从而实现快速商业化。该项目已经准备好从一个扩展中受益，该扩展将允许使用故意“老化”和“退化”的半导体模块进行实验室验证，作为与目标市场垂直客户进行测试能力的先兆。Amantys还建议检查每个市场、集成/采用的路线图和ROI，与已确定的“早期采用者”密切合作，以帮助加速初始使用。